Nowadays, the Matrix Code Equivalence Problem shows potential applicability in constructing efficient and secure advanced digital signatures, focusing on linkable ring signatures, threshold signatures, and blind signatures. Current constructions of these advanced signatures rely on relaxed instantiations of the Matrix Code Equivalence Problem (namely, the 2-MCE problem): given two pairs of equivalent matrix codes, find (if it exists) the secret isometry connecting the pairs. For example, the linkable ring signature construction by Chou et al. (AFRICACRYPT, 2023) builds on top of the Inverse Matrix Code Equivalence Problem: given three equivalent matrix codes, where one pair of the codes is connected by the secret isometry and another by the inverse of that isometry, find the secret isometry. This paper studies the 2-MCE problem, focusing on the family of instances where the secret isometry is (skew) symmetric. Our main contribution corresponds to a polynomial-time algorithm that solves these instances of the 2-MCE problem. Our results have a crucial security impact on the recent blind signature construction proposed by Kuchta, LeGrow, and Persichetti (Cryptography and Communications, 2026), whose security is closely related to the hardness of solving these kinds of instances of the Inverse Matrix Code Equivalent Problem. More precisely, we show that we can break the blind signature construction by Kuchta, LeGrow, and Persichetti (Cryptography and Communications, 2026), with an estimated security of 128 bits, in 33.7 minutes.

Abstract. CROSS is a code-based signature based on the Restricted Syndrome Decoding Problem (R-SDP) that is currently among the fourteen candidates in the NIST standardization process. While CROSS enjoys a very competitive verification time, its primary drawback is its significantly large signature size. In this work, we introduce a new Multi-Party Computation in the Head (MPCitH) protocol for the R-SDP with the primary goal of reducing CROSS signature size. To do so, we design a publicly verifiable secret sharing scheme tailored for restricted vectors and a new multiplicative-to-additive conversion for it. These new cryptographic gadgets may be of independent interest as they can serve as building blocks for future research in multi-party computation, such as a threshold version of CROSS.

We present GRAFHEN, a new cryptographic scheme which offers Fully Homomorphic Encryption without the need for bootstrapping (or in other words, without noise). Building on the work of Nuida and others, we achieve this using encodings in groups. The groups are represented on a machine using rewriting systems. In this way the subgroup membership problem, which an attacker would have to solve in order to break the scheme, becomes maximally hard, while performance is preserved. In fact we include a simple benchmark demonstrating that our implementation runs several orders of magnitude faster than existing standards. We review many possible attacks against our protocol and explain how to protect the scheme in each case. Important note: this version was updated to take into account the attack proposed by Jules Dumezy (which is the first documented, successful attack on our scheme.) The recommended parameters have been altered. The new values seem to protect GRAFHEN against the attack; this is currently under investigation.

One-shot signatures (OSS) are a powerful and uniquely quantum cryptographic primitive which allows anyone, given common reference string, to come up with a public verification key $\mathsf{pk}$ and a secret signing state $\ket{\mathsf{sk}}$. With the secret signing state, one can produce the signature of any one message, but no more. In a recent breakthrough work, Shmueli and Zhandry (CRYPTO 2025) constructed one-shot signatures, either unconditionally in a classical oracle model or assuming post-quantum indistinguishability obfuscation and the hardness of Learning with Errors (LWE) in the plain model. In this work, we address the inefficiency of the Shmueli-Zhandry construction which signs messages bit-by-bit, resulting in signing keys of $\Theta(\lambda^4)$ qubits and signatures of size $\Theta(\lambda^3)$ bits for polynomially long messages, where $\lambda$ is the security parameter. We construct a new, simple, direct, and efficient one-shot signature scheme which can sign messages of any polynomial length using signing keys of $\Theta(\lambda^2)$ qubits and signatures of size $\Theta(\lambda^2)$ bits. We achieve corresponding savings in runtimes, in both the oracle model and the plain model. In addition, unlike the Shmueli-Zhandry construction, our scheme achieves perfect correctness. Our scheme also achieves strong signature incompressibility, which implies a public-key quantum fire scheme with perfect correctness among other applications, correcting an error in a recent work of Çakan, Goyal and Shmueli (QCrypt 2025) and recovering their applications.

Folding/Accumulation schemes are a powerful tool for building scalable proof systems. However, standard approaches for leveraging folding schemes, such as IVCs or PCDs, require embedding hash functions (modeled as random oracles) into recursive circuits, introducing both security concerns and significant proving overhead. We re-envision how to use folding schemes, and introduce Symphony, the first proving paradigm that leverages folding schemes as a black box without embedding hashes in SNARK circuits. It is memory-efficient, parallelizable, and plausibly post-quantum secure, with polylogarithmic proof size and verification. The (low-memory) prover requires O(log log n) passes of the input data and its computation is dominated by committing to the input witnesses. A core component of our construction is a new lattice-based folding scheme that compresses a large number of NP-complete statements into one in a single shot. Furthermore, we design a generic compiler that converts a folding scheme into a SNARK without embedding the Fiat-Shamir circuit into proven statements.

Is module-lattice reduction better than unstructured lattice reduction? This question was highlighted as 'Q8' in the Kyber NIST standardization submission (Avanzi et al., 2021), as potentially affecting the concrete security of Kyber and other module-lattice-based schemes. Foundational works on module-lattice reduction (Lee, Pellet-Mary, Stehlé, and Wallet, ASIACRYPT 2019; Mukherjee and Stephens-Davidowitz, CRYPTO 2020) confirmed the existence of such module variants of LLL and block-reduction algorithms, but focus only on provable worst-case asymptotic behavior. In this work, we present a concrete average-case analysis of module-lattice reduction. Specifically, we address the question of the expected slope after running module-BKZ, and pinpoint the discriminant $\Delta_K$ of the number field at hand as the main quantity driving this slope. We convert this back into a gain or loss on the blocksize $\beta$: module-BKZ in a number field $K$ of degree $d$ requires an SVP oracle of dimension $\beta + \log(|\Delta_K| / d^d)\beta /(d\log \beta) + o(\beta / \log \beta)$ to reach the same slope as unstructured BKZ with blocksize $\beta$. This asymptotic summary hides further terms that we predict concretely using experimentally verified heuristics. Incidentally, we provide the first open-source implementation of module-BKZ for some cyclotomic fields. For power-of-two cyclotomic fields, we have $|\Delta_K| = d^d$, and conclude that module-BKZ requires a blocksize larger than its unstructured counterpart by $d-1+o(1)$. On the contrary, for all other cyclotomic fields we have $|\Delta_K| < d^d$, so module-BKZ provides a sublinear $\Theta(\beta/\log \beta)$ gain on the required blocksize, yielding a subexponential speedup of $\exp(\Theta(\beta/\log \beta))$.

Polynomial commitment schemes (PCSs) are a core primitive in modern proof systems, especially SNARKs. Lattice-based PCSs are a natural post-quantum alternative, but existing constructions typically enforce lattice smallness only up to a multiplicative slack in the extracted $\ell_2$ norm. We present Serval, a lattice-based PCS with \emph{slack-free} $\ell_2$ soundness (norm-preserving extraction) under standard SIS/LWE-type assumptions. Following the norm-proof paradigm of Lyubashevsky~\etal (Crypto~'22), we reduce exact $\ell_2$ enforcement to a self-inner-product argument plus a binary validation that avoids modular wraparound. Our main technical insight is a reduction that rewrites the binary check as inner-product-shaped constraints that match the algebraic form of the PCS evaluation and commitment-consistency checks. This alignment yields a unified divide-and-conquer protocol that proves all constraints simultaneously in $O(\log L)$ rounds, giving succinct evaluation proofs and efficient verification. At $L = 2^{20}$ and matched security parameters ($\lambda = 128$), our instantiated proof size is $8 \times$ smaller than Fenzi~\etal (JoC~'24) and $85 \times$ smaller than SLAP (Eurocrypt~'24), while remaining compatible with the recent construction of Cini~\etal (Crypto~'24).

Functional Encryption (FE) is a concept that generalizes public-key encryption, allowing a party that owns a private key to find a function of the plaintext (instead of the plaintext itself). Multi-Party Functional Encryption (MPFE) generalizes this concept and adapts it to multi-party settings, allowing for decentralization in both the ciphertexts—which might originate from multiple sources—and the keys—thereby eliminating the necessity of a central authority and avoiding the introduction of a single point of trust and failure. The current paper presents a substantial foundation of MPFE to the non-specialist reader. It provides definitions, classifications, and discusses properties of MPFE and its relation with other cryptographic concepts. The potential applicability of MPFE, which covers multiple domains and use cases, is discussed. The paper investigates the real-world adoption of MPFE, including its presence in technical specifications or its availability in open-source libraries. Finally, the current study discusses challenges and therefore opens up new research directions.

The Swiss Post voting system is one of the most advanced cryptographic voting protocols deployed for political elections, offering end-to-end verifiability and vote privacy. It provides significant documentation and independent scrutiny reports. Still, we argue that two significant pillars of trust need to be further developed. One is formal verification accompanied by machine-checked proofs. The second is security in presence of a corrupt setup component. In this work, we propose formal specifications of a simplified version of the Swiss Post voting protocol and initial verification results with the Tamarin prover. We also propose a revised protocol design that mitigates risks from a corrupt setup, and a prototype implementation of necessary zero-knowledge proofs.

We introduce a new primitive, called beholder signatures, which, in some sense, are the opposite of blind signatures. In a beholder signature, one signs a commitment to a (potentially very long) message, and the signature attests that the parties participating in the signing process who know the secret key, jointly also know the entire committed message. This guarantee holds even against distributed adversaries that use secure multi-party computation (MPC) to produce the signature. We work in the distributed adversarial model (Dziembowski, Faust, and Lizurej, Crypto'23), where one assumes that it is infeasible to evaluate a large number of hash queries without any of the participating parties learning the input. We propose a construction of beholder signatures in the random oracle model. The starting point of our construction is proofs of complete knowledge, recently proposed by (Kelkar et al. CCS'24), which again build on Fischlin's transformation of a sigma protocol to a noninteractive, straight-line extractable zero-knowledge proof of knowledge. Our scheme is concretely efficient and comes with a proof-of-concept implementation using Schnorr as the underlying sigma protocol. The primary applications of beholder signatures can be found within the blockchain ecosystem. In particular, we describe how to use them to construct proofs of custody (Feist, 2021) that do not require ephemeral keys and are noninteractive. We also outline applications to data dissemination, data availability, and proofs of replication.

Feature-snooping attacks (FSA) are very powerful for reverse engineering machine learning models running on neural processing units (NPUs). While memory encryption is an effective countermeasure for cloud devices, the increased data movement causes significant overheads, making it inefficient for edge devices. We make a crucial observation that features dominate the off-chip memory accesses in edge NPUs and propose FeatureFence, which eliminates and compensates for feature encryption via a regularization approach to protect against FSA during inference. Our approach creates neuron pairs in the first layer called couples, and equates weights and biases of neurons within each couple, thereby making reverse engineering mathematically impossible beyond the first layer. During FeatureFence training, the nature of perturbations is gradually learnt across epochs, leading to graceful recovery of functional accuracy. When implemented across a wide range of neural network models mapped to the Eyeriss architecture, on average, FeatureFence is able to reduce energy overheads by ≈ 41% when compared to GuardNN.

Non-interactive zero-knowledge (NIZK) proofs tend to be randomized and there are many possible proofs for any fixed NP statement. Can we have NIZKs with only a single unique valid proof per statement? Such NIZKs are known under strong cryptographic assumptions (indistinguishability obfuscation), and are conversely known to require strong cryptographic assumptions (witness encryption). In this work, following Lepinski, Micali, and shelat (TCC '05), we consider the following relaxed notion of unique NIZKs (UNIZKs): - We only require (computationally) unique proofs for NP statements with a (computationally) unique witness; an adversary that can produce two distinct proofs must also know two distinct witnesses. - We consider NIZKs with prover setup, where a potentially malicious prover initially publishes a public key $\mathsf{pk}$ and keeps a corresponding secret key $\mathsf{sk}$, which it uses to produce arbitrarily many NIZK proofs $\pi$ in the future. While the public key $\mathsf{pk}$ is not required to be unique, once it is fixed, all the subsequent proofs $\pi$ that the prover can produce should be unique. We show that both of these relaxations are needed to avoid witness encryption. Prior work constructed such UNIZKs under the quadratic residuosity assumption, and it remained an open problem to do so under any other assumptions. Here, we give a new construction of UNIZKs under the learning with errors (LWE) assumption. We also identify and fix a subtle circularity issue in the prior work. UNIZKs are a non-interactive version of steganography-free zero-knowledge of Abdolmaleki et al. (TCC '22). As an application of UNIZKs, we get a general steganography detection mechanism that can passively monitor arbitrary functionalities to detect steganographic leakage.

In recent years, numerous new and more efficient constructions of zero-knowledge succinct non-interactive argument of knowledge (zkSNARK) have been proposed, motivated by their growing practical applications. However, in most schemes, when the witness is changed, the prover has to recompute the proof from scratch even if the new witness is close to the old one. This is inefficient for applications where proofs are generated for dynamically changing witnesses with small changes. In this paper, we introduce DYNARK, a dynamic zkSNARK scheme that can update the proof in sublinear time when the change of the witness is small. DYNARK is built on top of the seminal zkSNARK protocol of Groth, 2016. In the semi-dynamic setting, for an R1CS of size $n$, after a preprocessing of $O(n\log n)$ group operations on the original witness, it only takes $O(d)$ group operations and $O(d\log^2 d)$ field operations to update the proof for a new witness with distance $d$ from the original witness, which is nearly optimal. In the fully-dynamic setting, the update time of DYNARK is $O(d\sqrt{n\log n})$ group operations and $O(d\log^2 d)$ field operations. Both the proof size and the verifier time are $O(1)$, which are exactly the same as Groth16. Compared to the scheme in a prior work by Wang et al. 2024, we reduce the proof size from $O(\sqrt{n})$ to $O(1)$ without relying on pairing product arguments or another zkSNARK, and the update time and the verifier time of DYNARK are faster in practice. Experimental results show that for $n=2^{20}$, after a one-time preprocessing of 74.3 seconds, it merely takes 3 milliseconds to update the proof in our semi-dynamic zkSNARK for $d=1$, and 60 milliseconds to update the proof in our fully-dynamic zkSNARK. These are 1433$\times$ and 73$\times$ faster than Groth16, respectively. The proof size is 192 bytes and the verifier time is 4.4 milliseconds. The system is fully compatible with any existing deployment of Groth16 without changing the trusted setup, the proof and the verification algorithm.

We present our work-in-progress approach to computable contracts, where all roles in a computation may be outsourced, from the servers performing computations, to those providing input, to those performing verifications (on input and on output), including all related communications. Varying levels of confidentiality can be chosen on both data and calculations. Although the largest part of the computational and communication effort is performed off-chain, our contracts require a specialized underlying blockchain where they are encoded as transactions. This enables decentralized handling and enforces correct execution through a combination of cryptographic techniques and economic security. Our delegation architecture allows for the execution of very complex collaborative tasks, such as decentralized AI.

MQOM is one of the fourteen remaining candidates in the second round of the NIST post-quantum signature standardization process. Introduced in 2023, MQOM instantiates the Multi-Party Computation in the Head (MPCitH) paradigm over the well-established hard problem of solving Multivariate Quadratic (MQ) equations. In this paper, we present the first fault attacks on MQOM targeting the MQ evaluation phase, which is a central component of the algorithm. We introduce four differential fault attacks and demonstrate their effectiveness against both unprotected and masked implementations. The first two target the secret key using a random fault model, making them particularly realistic and practical. With as little as one or two injected faults, depending on the variant, the entire secret key can be recovered through linear algebra. The other two attacks exploit faults on the coefficients of the MQ system directly. Our results highlight that the MQ evaluation, despite not being identified as a sensitive component until now, can be exploited using just a few fault injections.

We introduce Bounded-Equivocable PRFs, a new variant of pseudorandom functions. They combine standard pseudorandomness with a bounded form of programmability. In our model, an adversary may issue an arbitrary number of queries that remain indistinguishable from random. Bounded equivocability ensures that responses can be programmed consistently with a later-revealed key, up to a fixed bound q. This relaxation avoids known impossibility results, which preclude polynomial unbounded equivocability in the standard model, while preserving the programmability required for applications. We present standard-model constructions of bounded-equivocable PRFs under the DDH and LWE assumptions, and we show how to make these constructions verifiable. Prior SIM-AC style primitives could not achieve verifiability since their programmability relied on embedding the secret key into the random oracle. We demonstrate applications to (i) adaptively secure private-key encryption, (ii) two-round threshold Schnorr signatures secure against adaptive corruptions, and (iii) leader election in Proof of Stake blockchains. Together, these results establish bounded-equivocable PRFs as a practical primitive that achieves programmability with verifiability in the standard model, and enables applications previously out of reach.

We present Poseidonb and Poseidon2b, natural variants of Poseidon and Poseidon2, respectively, defined over binary extension fields with a target security level of 128 bits. They are specifically designed to inherit many of the circuit-friendly properties of their prime field version, and to be used together with binary extension field proving systems such as Binius. Benchmarking demonstrates the merits in proof size, proving time, and especially verification time, in comparison to traditional hash functions and other binary circuit-friendly hash functions such as Vision-32b and Anemoi. Due to the close similarity to their prime field counterparts, many existing cryptanalytic results directly carry over to Poseidonb and Poseidon2b. Nevertheless, we revisit the security analysis to incorporate recent advances in cryptanalysis and to account for attack vectors that do not arise in the prime field setting. In particular, we focus on algebraic cryptanalysis and subspace trails, techniques that resulted in attacks on initial versions of Poseidon defined over binary extension fields. Our complexity estimates are based on the ideal degree, now increasingly adopted as a standard measure in algebraic cryptanalysis.

FHEW-like homomorphic encryption (HE) schemes, introduced by Ducas and Micciancio (Eurocrypt 2015), represent the most efficient family of HE schemes in terms of both latency and key size. However, their bootstrapping noise is highly sensitive to parameter selection, leaving only a sparse set of feasible parameters. Because bootstrapping noise directly affects security and performance, existing approaches tend to choose parameters that drive noise excessively low—resulting in large key sizes and high latency. In this paper, we propose a new bootstrapping modification that permits an almost continuous spectrum of parameter choices. In our best knowledge, this is the first practical HE scheme for which the evaluation failure probability is precisely determined without requiring any information about the message distribution. We further show that, under our method, the parameter‐optimization task reduces to a generalized knapsack problem solvable in polynomial time. As a result, the traditionally cumbersome process of selecting parameters for FHEW‐like schemes becomes tractable. Experimental results show that our method improves bootstrapping runtime by approximately 17% and reduces key size by about 45%.

Privacy-preserving advertisement attribution allows websites selling goods to learn statistics on which advertisement campaigns can be attributed to converting sales. Existing proposals rely on users to locally store advertisement history on their browser and report attribution measurements to an aggregation service (instantiated with multiparty computation over non-colluding servers). The service computes and reveals the aggregate statistic. The service hides individual user contributions, but it does not guarantee integrity against misbehaving users that may submit fraudulent measurements. Our work proposes a new cryptographic primitive, "secret share attestation", in which secret shares input into a multiparty computation protocol are accompanied by an attestation of integrity by a third party: advertisers include signature attestations when serving ads that are later included in contributed measurements. We propose two constructions based on the standards-track BBS signatures and efficient signatures over equivalence classes, respectively. We implement and evaluate our protocols in the context of the advertising application to demonstrate their practicality.

Verifiable Homomorphic Encryption (VHE) is a cryptographic technique that integrates Homomorphic Encryption (HE) with Verifiable Computation (VC). It serves as a crucial technology for ensuring both privacy and integrity in outsourced computation, where a client sends input ciphertexts $\mathsf{ct}$ and a function $f$ to a server and verifies the correctness of the evaluation upon receiving the evaluation result $f(\mathsf{ct})$ from the server. Chatel et al. (CCS'24) introduced two VHE schemes: Replication Encoding (REP) and Polynomial Encoding (PE). A similar approach to REP was used by Albrecht et al. (EUROCRYPT'24) to develop a Verifiable Oblivious PRF scheme (vADDG). A key approach in these schemes is to embed specific secret information within ciphertexts and use them to verify homomorphic evaluations. This paper presents efficient forgery attacks against the verifiability guarantees of these VHE schemes. We introduce two attack strategies. The first targets REP and vADDG, extracting secret information in encrypted form from input ciphertexts and leveraging it to forge output ciphertexts without being detected by the verification algorithm. The second targets PE, exploiting its secret embedding structure to forge output ciphertexts that remain valid on input values for verification, yet violate the verifiability property. Our forgery attack on vADDG demonstrates that the proposed 80-bit security parameters provide at most 10 bits of concrete security. Our attack on REP and \PE achieves a probability 1 attack with linear time complexity when using fully homomorphic encryption.

Gluing theorem for random unitaries [Schuster, Haferkamp, Huang, QIP 2025] have found numerous applications, including designing low depth random unitaries [Schuster, Haferkamp, Huang, QIP 2025], random unitaries in $\mathsf{QAC0}$ [Foxman, Parham, Vasconcelos, Yuen'25] and generically shortening the key length of pseudorandom unitaries [Ananth, Bostanci, Gulati, Lin EUROCRYPT'25]. We present an alternate method of combining Haar random unitaries from the gluing lemma from [Schuster, Haferkamp, Huang, QIP 2025] that is secure against adversaries with inverse query access to the joined unitary. As a consequence, we show for the first time that strong pseudorandom unitaries can generically have their length extended, and can be constructed using only $O(n^{1/c})$ bits of randomness, for any constant $c$, if any family of strong pseudorandom unitaries exists.

Format-preserving encryption (FPE) enables encryption while maintaining syntactic properties such as character sets. The current NIST standard FF1 uses multi-round Feistel networks that sacrifice performance for flexibility, while FF3-1 was withdrawn in 2025 following successful cryptanalytic attacks. FAST, proposed as a faster alternative, has not been widely implemented due to its complexity, leaving limited practical alternatives. We present HCTR2-FP and HCTR3-FP, format-preserving adaptations of the HCTR2 and HCTR3 wide-block tweakable ciphers. These variants preserve the single-pass Hash-Encrypt-Hash structure while operating on arbitrary radix domains through base-radix encoding and modular arithmetic. The constructions are simple to implement and analyze, and benchmarks demonstrate significant speedup over FF1.

"Pebble games," an abstraction from classical reversible computing, have found use in the design of quantum circuits for inherently sequential tasks. Gidney showed that allowing Hadamard basis measurements during pebble games can dramatically improve costs—an extension termed "spooky pebble games" because the measurements leave temporary phase errors called ghosts. In this work, we define and study parallel spooky pebble games. Previous work by Blocki, Holman, and Lee (TCC 2022) and Gidney studied the benefits offered by either parallelism or spookiness individually; here we show that these resources can yield impressive gains when used together. First, we show by construction that a line graph of length $\ell$ can be pebbled in depth $2\ell$ (which is exactly optimal) using space $\leq 2.47\log \ell$. Then, to explore pebbling schemes using even less space, we use a highly optimized $A^*$ search implemented in Julia to find the lowest-depth parallel spooky pebbling possible for a range of concrete line graph lengths $\ell$ given a constant number of pebbles $s$. We show that these techniques can be applied to Regev's factoring algorithm (Journal of the ACM 2025) to significantly reduce the cost of its arithmetic. For example, we find that 4096-bit integers $N$ can be factored in multiplication depth 193, which outperforms the 680 required of previous variants of Regev and the 444 reported by Ekerå and Gärtner for Shor's algorithm (IACR Communications in Cryptology 2025). While the space required for Shor's algorithm is considerably less than any variant of Regev's algorithm including ours, and thus Shor likely remains the best candidate for the first quantum factorization of large integers, our results show that implementations of Regev's algorithm are far from fully optimized, and thus Regev's algorithm may have practical importance in the future. We also believe our pebbling techniques will find applications in quantum cryptanalysis beyond integer factorization, and in quantum circuit compilation more broadly.

Abstract. Blind signatures are an important tool for privacy-preserving applications with a long history dating back to Chaum’s seminal work in Crypto’82. In this work, we present the first pairing-free blind signature in the random oracle model that is concurrently-secure under the discrete logarithm assumption (without the algebraic group model). On a technical level, our work extends the recent proofs of inequality technique (Klooß and Reichle, Crypto’25) to arguments of inequality. The original technique relies on puncturing the verification key to make forgeries statistically impossible. We show how computational puncturing can be used, which opens the possibilities of applying the technique under weaker assumptions, at the cost of requiring a rewinding-based security reduction. In particular, this demonstrates that (notoriously difficult) rewinding-based techniques are still a viable path to Fiat–Shamir-based blind signatures.

Recognising the need for PQC signature schemes with different size and performance trade-offs than the ML-DSA and SLH-DSA standards, in 2023 NIST launched a competition for additional signature algorithms. Among the current candidates in this competition is CROSS, a code-based scheme derived from the syndrome-decoding problem and suitable for memory-constrained devices. This paper presents a fault attack on CROSS that recovers the secret key by flipping one or more bits in the scheme’s public parity-check matrix. Unlike previous PQC fault attacks that typically rely on precisely controlled fault injections, which is often an unrealistic assumption, our approach exploits bit flips with unknown position and value, resembling the Rowhammer fault model. The attack builds upon the correction-based methodology introduced for Dilithium (Euro S&P’22; CHES’24) and exploits structural properties of CROSS to substantially relax attacker requirements. We demonstrate the attack on an ARM Cortex-M4 processor using voltage fault injection. We further show that prior work on partial key exposure attacks (CRYPTO'22) can be extended to CROSS under non-trivial erasure rates, reducing the attack complexity. The attack remains effective in the presence of memory-integrity protection mechanisms such as error-correcting codes. Finally, we propose countermeasures for hardening CROSS implementations against physical attacks.

Cryptographic implementations are inherently vulnerable to side-channel attacks, which exploit physical leakages such as power consumption. Masking has become the most widely adopted countermeasure to mitigate these threats, as it randomizes intermediate values and makes the leakage less exploitable. Yet, a central challenge remains: how to rigorously assess the concrete security level of masked implementations. To tackle this issue, the random probing model has emerged as a powerful abstraction. It formalizes leakage as random probes in the circuit and, importantly, the security in the noisy leakage model, which closely reflects the behavior of real embedded devices, reduces to security in the random probing model. Hence, proving security in the random probing model provides sound guarantees of practical resistance against side-channel attacks. Yet, the current state of the art on random probing compilers and verifiers suffers from a clear limitation: scalable approaches yield prohibitively large and inefficient circuits, while tighter methods do not scale to practical circuit sizes. In this work, we bridge this gap by introducing a new methodology that directly estimates the random probing security of large circuits through Monte Carlo sampling, combined with a pruning strategy that drastically reduces the sampling space. We implement our approach in a new tool, PERSEUS, which supports both gate and wire leakage models. Our experiments demonstrate that PERSEUS can efficiently evaluate masked implementations of AES-128 with $n=8$ shares, achieving security levels beyond 32 bits, thereby significantly advancing the state of the art in practical verification of side-channel countermeasures.

The Linear Code Equivalence (LCE) problem and the Matrix Code Equivalence (MCE) problem are two examples of code-based hard problems that have gained attention as candidates for use in post-quantum cryptography. They are straightforward to implement, can be viewed as group actions, and offer a good trade-off between compactness and performance in the realm of post-quantum group actions. With the community gaining confidence in the security of these problems, new variants of these problems have been introduced to achieve particular functionalities in advanced protocols or efficiency improvements. A natural question is then whether the problem variants are as secure as the original ones. In this work, we consider three problem variants of LCE or MCE. We first consider a variant based on LCE, and reduce it to the original LCE assumption. This problem was presented in a prior version of the blind signature scheme, proposed by Duong, Khuc, Qiao, Susilo and Zhang. Second, we analyse an MCE variant, MIMCE, proposed in the context of another blind signature scheme, by Kutcha, Legrow and Persichetti, and show that the parameters proposed are not sufficient to reach the claimed bit security. Finally, we consider a multi-sample version of MIMCE which we solve in polynomial time.

Hardware Private Circuits (HPC) provide a compositional framework for designing masked hardware circuits, ensuring security against side-channel attacks in the robust probing model with glitches and transitions. There is however a gap between the simplified circuit models and real-world implementations. In particular, some parts are of real circuits are ignored in the simplified models. Further, designing implementations such that they have a simple static correspondence to the theory can be challenging (e.g., around the requirement of splitting the computation into gadgets), or even infeasible (e.g., when some hardware elements like memory are used for different purposes during the executions). In this work, we close this gap by introducing a new model for hardware circuits that include the control and randomness distribution logic. It also allows some computation on the shares to be performed outside the delimited gadgets. We introduce a new open-source compositional masking verification tool, MATCHI. Thanks to the formalization of a composition framework for the new circuit model, we prove that any circuit successfully verified by MATCHI is secure in the threshold probing model with glitches and transitions.

The development of quantum computing technology poses a serious and credible threat to modern public-key cryptography, which is a pillar of secure communications. Post quantum cryptographic (PQC) algorithms can protect against this threat, but key establishment protocols supporting PQC algorithms pose non-trivial overhead costs. Prior proposals have pointed to the use of strategic traditional/PQC protocol combinations as a means of balancing performance and security, namely as an amortization of PQC overhead. This work provides the first benchmarking of this method within the context of the Messaging Layer Security (MLS) protocol. Comparative metrics include group size, CPU cycles, bytes, and runtime. The results show substantial overhead savings across the board when compared to a simple post-quantum cipher suite use, and marginal increase over traditional cipher suite performance when amortized. At small group sizes such as 1-to-1 channels, the method performs comparably to MLS using a traditional cipher suite. This work shows viability of deploying PQC solutions for constrained settings and and achieving PQC security with efficiency.

Quantum copy-protection is a functionality-preserving compiler that transforms a classical program into an unclonable quantum program. This primitive has emerged as a foundational topic in quantum cryptography, with significant recent developments. However, characterizing the functionalities that can be copy-protected is still an active and ongoing research direction. Assuming the existence of indistinguishability obfuscation and learning with errors, we show the existence of copy-protection for a variety of classes of functionalities, including puncturable cryptographic functionalities and subclasses of evasive functionalities. This strictly improves upon prior works, which were either based on the existence of heuristic assumptions [Ananth and Behera CRYPTO'24] or were based on the classical oracle model [Coladangelo and Gunn STOC'24]. Moreover, our constructions satisfy a new and much stronger security definition compared to the ones studied in the prior works. To design copy-protection, we follow the blueprint of constructing copy-protection from unclonable puncturable obfuscation (UPO) [Ananth and Behera CRYPTO'24] and present a new construction of UPO by leveraging the recently introduced techniques from [Kitagawa and Yamakawa TCC'25].

Introduced in 2003 and 2005, Alekhnovich and Regev' schemes were the first public-key encryptions whose security is only based on the average hardness of decoding random linear codes and LWE, without other security assumptions. Such security guarantees made them very popular, being at the origin of the now standardized HQC or Kyber. We present an adaptation of Alekhnovich and Regev' encryption scheme whose security is only based on the hardness of a slight variation of MinRank, the so-called stationary-MinRank problem. We succeeded to reach this strong security guarantee by showing that stationary-MinRank benefits from a search-to-decision reduction. Our scheme therefore brings a partial answer to the long-standing open question of building an encryption scheme whose security relies solely on the hardness of MinRank. Finally, we show after a thoroughly security analysis that our scheme is practical and competitive with other encryption schemes admitting such strong security guarantees. Our scheme is slightly less efficient than FrodoKEM, but much more efficient than Alekhnovich and Regev' original schemes, with possibilities of improvements by considering more structure, in the same way as HQC and Kyber.

We present Miranda, the first family of full-domain-hash signatures based on matrix codes. This signature scheme fulfils the paradigm of Gentry, Peikert and Vaikuntanathan (GPV), which gives strong security guarantees. Our trapdoor is very simple and generic: if we propose it with matrix codes, it can actually be instantiated in many other ways since it only involves a subcode of a decodable code (or lattice) in a unique decoding regime of parameters. Though Miranda signing algorithm relies on a decoding task where there is exactly one solution, there are many possible signatures given a message to sign and we ensure that signatures are not leaking information on their underlying trapdoor by means of a very simple procedure involving the drawing of a small number of uniform bits. In particular Miranda does not use a rejection sampling procedure which makes its implementation a very simple task contrary to other GPV-like signatures schemes such as Falcon or even Wave. We instantiate Miranda with the famous family of Gabidulin codes represented as spaces of matrices and we study thoroughly its security (in the EUF-CMA security model). For 128 bits of classical security, the signature sizes are as low as 90 bytes and the public key sizes are in the order of 2.6 megabytes.

We study error-detection and error-correction codes for computationally bounded adversarial channels. We consider seeded codes where the polynomial-time encoding and decoding procedures share a public random seed, but are otherwise deterministic. An adversarial channel gets this seed and can perform arbitrary polynomial-time computation to adaptively select both the message to be encoded and a bounded number of errors to be added to the resulting codeword. The goal is to detect or correct such errors with overwhelming probability, while achieving better trade-offs between rate and error tolerance than those possible for computationally unbounded channels. For large alphabets, prior work (ITCS '25) achieves essentially optimal parameters under minimal cryptographic assumptions. However, for the binary alphabet, prior works (TCC '20, EUROCRYPT '25) either only achieved a weaker notion of selective security under the learning with errors (LWE) assumption, or relied on non-standard cryptographic assumptions to get the full notion of adaptive security. In this work, we construct binary codes that achieve the full notion of adaptive security assuming trapdoor hashing, which can in turn be instantiated under a variety of standard cryptographic assumptions such as LWE, or Decisional Diffie-Hellman (DDH), or Quadratic Residuosity (QR), or Decisional Composite Residuosity (DCR). For error detection, our codes get essentially optimal rate $R \approx 1$ and relative error tolerance $p \approx \frac{1}{2}$. For error correction, they can uniquely correct $p < 1/4$ fraction of errors with a rate $R$ matching that of the best known list-decodable codes for this error tolerance. As a central technical tool of potentially independent interest, we construct multi-input correlation intractable hashing for ``shifted output relations'' under the standard cryptographic assumptions above.

Lookup arguments have become a central tool in proof systems, powering a range of practical applications. They enable the efficient enforcement of non-native operations, such as bit decomposition, range checks, comparisons, and floating-point arithmetic. They underpin zk-VMs by modelling instruction tables, provide set membership proofs in stateful computations, and strengthen extractors by ensuring witnesses belong to small domains. Despite these broad uses, existing lookup constructions vary widely in assumptions, efficiency, and composability. In this work, we systematize the design of lookup arguments and the cryptographic primitives they rely on. We introduce a unified and modular framework that covers standard, projective, indexed, vector, and decomposable lookups. We classify existing protocols by proof technique—multiset equality, Logup-based, accumulators, and subvector extraction (matrix–vector)—as well as by composition style. We survey and evaluate existing protocols along dimensions such as prover cost, dependence on table size, and compatibility with recursive proofs. From this analysis, we distill lessons and guidelines for choosing lookup constructions in practice and highlight the benefits and limitations of emerging directions in literature, such as preprocessing and decomposability.

Non profiled attacks aim to recover secret information from a device without prior knowledge of its leakage model. However, most practical non profiled attacks, such as Differential Power Analysis, Correlation Power Analysis, and Linear Regression-based Attacks (LRA), still depend on a priori leakage assumptions. Designing a generic attack that does not rely on any such assumption therefore remains an open problem and has been actively investigated by the side-channel community for more than a decade. Although Whitnall et al. showed that LRA can be considered generic when all predictors are included, this is not feasible in practice due to inherent multicollinearity issues and the inadequacy of classical distinguishers, which lose discriminating power when targeting injective functions. In this work, we overcome these limitations and propose the first fully generic-compatible non profiled attack. We show that using a Walsh-Hadamard basis enables generic LRA by eliminating multicollinearity and allowing all predictors to be considered without loss of precision. We also introduce new generic-compatible distinguishers tailored to LRA and formally prove their soundness for both linear and non-linear cryptographic operations. Finally, we validate our approach experimentally using simulations and publicly available datasets.

The majority of modern e2e private applications face scalability issues that limit their functionality, broader adoption, and overall user experience. Some of them organize private groups as a set of peer-to-peer chats, which leads to an overall quadratic complexity in the size of group communication and a linear time complexity in the number of members for encryption. Others apply more scalable group key establishment constructions (such as ART), but at the same time, they do not support verifiable and concurrent updates. In this paper, we introduce the 0-ART protocol, which aims to address the aforementioned issues by (1) verifiable group operations; (2) a causal tree construction allowing for multiple concurrent updates and efficient member removal; (3) anonymous credentials, making privacy in the group available while keeping operations authentic. We implemented the 0-ART framework and applied it to a decentralized collaborative work application. According to our benchmark, executing the most complex operation (performing the provable $\mathsf{AddMember}$ operation in a group of size $2^{20}$) takes 1.57 seconds on the user's device and $24$Kb of proof size.

As anonymous social networks continue to grow in popularity, they raise serious challenges around abuse, misinformation, and harmful behavior. While traditional de-anonymization techniques can address misuse, they often come at the cost of user privacy. Protecting honest users' privacy while keeping malicious ones accountable remains a complex challenge. A promising alternative is conditional deanonymization, where anonymity is lifted only when abuse is collectively reported and verified by an authority. In this work, we present a new cryptographic framework for conditional de-anonymization that preserves user anonymity unless a threshold number of validated abuse reports is reached. Our design leverages threshold cryptography to ensure that de-anonymization can only be triggered under well-defined, collectively enforced conditions—resisting false reports, misuse, and collusion. We formalize the model and provide a generic construction from standard cryptographic primitives, proving strong security guarantees even in the presence of adversarial authorities or malicious users. To illustrate its viability, we also propose a concrete instantiation based on lattice-based assumptions, making it a compelling candidate for post-quantum settings.

The recent Digital Markets Act (DMA), a regulation passed by the European Union in 2022, requires messaging applications with large user bases to support interoperable end-to-end encrypted (E2EE) communication. This raises numerous questions about how to adapt cryptographic protocols to this setting in a way that preserves security and privacy. This question is not only limited to the main messaging protocols, but also extends to protocols for abuse mitigation such as the symmetric message franking protocol first proposed by Facebook. The latter uses symmetric cryptography to enable reporting abusive E2EE messages in a way that allows the platform to cryptographically verify the report's veracity. In this paper, we initiate a formal treatment of interoperable symmetric message franking (IMF). We focus on a server-to-server messaging flow, where messages are routed sequentially through the sender's and recipient's service providers, but allow the recipient to dynamically choose who to send a report to. We formalize the security definitions for IMF including adapting the sender and recipient binding definitions into various reportability and unforgeability definitions that take into account one of the service providers misbehaving. We also prove relations among these new definitions. Finally, we detail an IMF construction that satisfies the security definitions, and include a discussion of users' identity privacy goals and deployment considerations.

Secure key leasing allows a cryptographic key to be leased as a quantum state in such a way that the key can later be revoked in a verifiable manner. In this work, we propose a modular framework for constructing secure key leasing with a classical-lessor, where the lessor is entirely classical and, in particular, the quantum secret key can be both leased and revoked using only classical communication. Based on this framework, we obtain classical-lessor secure key leasing schemes for public-key encryption (PKE), pseudorandom function (PRF), and digital signature. We adopt the strong security notion known as security against verification key revealing attacks (VRA security) proposed by Kitagawa et al. (Eurocrypt 2025) into the classical-lessor setting, and we prove that all three of our schemes satisfy this notion under the learning with errors assumption. Our PKE scheme improves upon the previous construction by Goyal et al. (Eurocrypt 2025), and our PRF and digital signature schemes are respectively the first PRF and digital signature with classical-lessor secure key leasing property.

Lattice-based key-homomorphic encodings introduced by Boneh et al.~(Eurocrypt'14)---known as BGG+ encodings---underpin many primitives, including key-policy attribute-based encryption (KP-ABE). Many applications beyond KP-ABE require simulating the homomorphic evaluation of FHE ciphertexts over BGG+ encodings, which involves nonlinear operations on integers of magnitude up to the ciphertext modulus $q$. However, due to noise growth incurred by multiplication, the encodable integers must be kept small, typically bits, thereby forcing nonlinear operations to be simulated by Boolean circuits and incurring a circuit-size blow-up polynomial in $\log_2 q$. Apart from resorting to costly bootstrapping for BGG+ encodings, no method is known to beat this baseline. We propose a method to evaluate lookup tables~(LUTs) over BGG+ encodings that operates directly on base-$B$ digit representations for $2<B<\sqrt{q}$, with noise growth independent of the magnitudes of the encoded integers. Consequently, this replaces the $\log_2 q$ factor in the circuit-size blow-up with $\log_{B} q$, yielding a reduction in evaluation time by a factor polynomial in $\log_2 B$. We obtain: (i) small-integer arithmetic with base-$B$ outputs in constant size; (ii) modulo-$q$ multiplication with circuit size quadratic in $\log_{B} q$; and (iii) homomorphic ciphertext multiplication in the Gentry--Sahai--Waters FHE scheme~(Crypto'13) with circuit size approximately cubic in $\log_{B} q$. As an application, we build a KP-ABE scheme that is selectively secure under the Ring-LWE assumption and compatible with our LUT evaluation method. This reduces decryption cost by a factor polynomial in $\log_2 B$ at the expense of a polynomial-in-$B$ increase in decryption-key generation cost and decryption-key size, which is an attractive trade-off because decryption is invoked far more frequently than key generation in ABE applications.

An asymmetric Password-Authenticated Key Exchange (aPAKE) protocol allows a client and a server to agree upon a cryptographic key, with the only information shared in advance being a low-entropy password (memorized by the client) and a corresponding password file (stored in the server). The standard security definition for aPAKE is in the Universally Composable (UC) framework. Since aPAKE does not rely on a PKI, such protocols have received much attention in recent years due to their potential of replacing the traditional “password-over-TLS” approach for client-server authentication on the Internet. One of the only two aPAKE protocols currently deployed in practice is Secure Remote Password (SRP) (Wu, NDSS 1998), which is used by millions of users on the Internet. A formal security analysis of SRP has long been elusive; the only security proof to date is the one by Dayanikli and Lehmann (CSF 2024) which is in a (somewhat non-standard) variant of UC called UC with angels. This framework allows the simulator access to an additional oracle that solves certain hard cryptographic problems. In this work, we present a comprehensive new analysis of SRP, and clarify a number of ambiguities about its security: 1. We formally prove that the SRP is UC-secure if and only if one computational problem in the field is hard and one decisional problem is easy. As the decisional problem is likely hard in the field, this strongly suggests that SRP is not UC-secure and hence justifies the usage of UC with angels in the security analysis; 2. On the other hand, we show that the “angel” given to the simulator in the Dayanikli–Lehmann analysis is stronger than necessary, and can be replaced by a weaker oracle; 3. Finally, we prove that UC-with-angels-security is still stronger than the game-based security for aPAKE, i.e., SRP is still game-based secure under some reasonable assumptions. Overall, we pinpoint the exact conditions under which SRP can be proven secure, reducing its security to a number of underlying hardness problems. Along the way we also identify and bridge multiple gaps in the Dayanikli–Lehmann analysis — most notably, the concrete security bound — and apply novel proof techniques that might find application in other contexts.

Deep Neural Networks (DNNs) have attracted significant attention, and their internal models are regarded as valuable intellectual assets. Extracting a model via oracle access to a DNN is conceptually similar to extracting a secret key via oracle access to a block cipher. Consequently, cryptanalytic techniques, particularly differential-like attacks, have been actively explored recently. ReLU-based DNNs are the most common architectures. While early works (e.g., Crypto 2020, Eurocrypt 2024) assume access to exact output logits, more recent works (e.g., Asiacrypt 2024, Eurocrypt 2025) focus on the hard-label setting, where the attacker observes only the final classification result (e.g., "dog" or "car"). Notably, Carlini et al. (Eurocrypt 2025) demonstrated that model extraction is feasible in polynomial time even under this restricted setting. In this paper, we show that a key assumption of their attack becomes increasingly unrealistic as the target depth grows. While prior works have noted neurons whose activation states rarely change, we analyze their concrete impact on hard-label extraction: even a single neuron that is (almost) always active can prevent the attack from proceeding unless its parameters are recovered, and ignoring it inevitably incurs a non-negligible error. A straightforward solution is to recover these parameters from a state switch, but observing such a switch becomes exponentially harder as the depth increases, implying that hard-label extraction is not always polynomial time. To address this limitation, we propose cross-layer extraction. Rather than extracting the secret parameters (e.g., weights and biases) directly, we exploit cross-layer interactions to recover them from deeper layers, reducing query complexity and addressing limitations of existing model extraction approaches. The source code is available at https://github.com/ECSIS-lab/hard-label-cross-layer-extraction.

Falcon, a NTRU-based digital signature algorithm, has been selected by NIST as one of the post-quantum cryptography (PQC) standards. Compared to verification, the signature generation of Falcon is relatively slow. One of the core operations in signature generation is discrete Gaussian sampling, which involves a component known as the BaseSampler. The BaseSampler accounts for up to 30% of the time required for signature generation, making it a significant performance bottleneck. This work aims to address this bottleneck. We design a vectorized version of the BaseSample and provide optimized implementations across six different instruction sets: SSE2, AVX2, AVX-512F, NEON, RISC-V Vector (RVV), and RV64IM. The AVX2 implementation, for instance, achieves an 8.4× speedup over prior work. Additionally, we optimize the FFT/iFFT operations using RVV and RV64D. For the RVV implementation, we introduce a new method using strided load/store instructions, with 4+4 and 4+5 layer merging strategies for Falcon-512 and Falcon-1024, respectively, resulting in a speedup of more than 4×. Finally, we present the results of our optimized implementations across eight different instruction sets for signature generation of Falcon. For instance, our AVX2, AVX-512F, and RV64GCVB implementations achieve performance improvements of 23%, 36%, and 59%, respectively, for signature generation of Falcon-512.

Dittmer, Ishai and Ostrovsky (ITC'21) proposed {\em line-point zero-knowledge proof} (LPZK), a simple ``commit-and-prove'' system, motivated by practical protocols for compressing correlated pseudorandomness used in secure multiparty computation (MPC). Typically, LPZK admits concretely efficient ZK protocols with a streaming, linear time prover, {\em but a linear size proof}. A natural question raised in the context is how far can we go in minimizing the proof size, while maintaining the prover efficiency. Though a recent work by Lin, Xing and Yao (ASIACRYPT'24) gives an interactive LPZK with a sublinear proof size $O(n+d^2\log{|\mathcal{C}|})$, it is still far from being {\em succinct}, where $n,d,|\mathcal{C}|$ are referred to as input size, circuit depth, and circuit size, respectively. In this work, we beat the proof size barrier and propose {\em succinct LPZK arguments}, by distilling techniques from orthogonal studies on homomorphic secret sharing and succinct garbling. Specifically, under variants of group/lattice-based assumptions, we show the followings: i) There exist succinct LPZK arguments with common reference string (CRS) size $O(n^{2/3})$, proof size $O(n^{2/3})$, prover time $O(n^{4/3}+|\mathcal{C}|)$, verification time $O(n+|\mathcal{C}|)$, and negligible soundness error, where both the prover and the verifier executions and be run in a streaming fashion. ii) The above proof size can be further optimized to $O(1)$, at the cost of a larger CRS size $O(n)$, and prover time increased to $O(n^{2}+|\mathcal{C}|)$. In general, our succinct LPZK arguments pave a new way for building designated-verifier zero-knowledge succinct non-interactive arguments of knowledge (dv-zkSNARKs), and new interesting features (e.g., streaming, constant sized proof with CRS size not proportional to the circuit size) are obtained for the first time along the way.

Fully Homomorphic encryption (FHE) allows computation without decryption, but often suffers from a ciphertext expansion ratio and overhead. On the other hand, AES is a widely adopted symmetric block cipher known for its efficiency and compact ciphertext size. However, its symmetric nature prevents direct computation on encrypted data. Homomorphic transciphering bridges these two approaches by enabling computation on AES-encrypted data using FHE-encrypted AES keys, thereby combining the compactness of AES with the flexibility of FHE. In this work, we present a high-throughput homomorphic AES transciphering based on the CKKS scheme. Our design takes advantage of the ring conversion technique to the conjugate-invariant ring \cite{real_heaan} during the transciphering circuit, including bootstrapping, along with a suite of optimizations that reduce computational overhead. As a result, we achieved a throughput (per-block evaluation time) of 0.994ms—less than 1ms— outperforming the state-of-the-art \cite{xboot} by $1.58\times$ when processing $2^{15}$ AES-128 blocks under the same implementation environment, and support processing $2^{9}$ blocks within $3s$ on a single GPU.

Pseudorandom functions (PRFs) are one of the most fundamental primitives in classical cryptography. On the other hand, in quantum cryptography, it is possible that PRFs do not exist but their quantum analogues could exist, and still enabling many applications including SKE, MACs, commitments, multiparty computations, and more. Pseudorandom unitaries (PRUs) [Ji, Liu, Song, Crypto 2018], pseudorandom isometries (PRIs) [Ananth, Gulati, Kaleoglu, Lin, Eurocrypt 2024], and pseudorandom function-like state generators (PRFSGs) [Ananth, Qian, Yuen, Crypto 2022] are major quantum analogs of PRFs. PRUs imply PRIs, and PRIs imply PRFSGs, but the converse implications remain unknown. An important open question is whether these natural quantum analogues of PRFs are equivalent. In this paper, we partially resolve this question by ruling out black-box constructions of them: \begin{enumerate} \item There are no black-box constructions of $O(\log\lambda)$-ancilla PRUs from PRFSGs. \item There are no black-box constructions of $O(\log\lambda)$-ancilla PRIs with $O(\log\lambda)$ stretch from PRFSGs. \item There are no black-box constructions of $O(\log\lambda)$-ancilla PRIs with $O(\log\lambda)$ stretch from PRIs with $\Omega(\lambda)$ stretch. \end{enumerate} Here, $O(\log\lambda)$-ancilla means that the generation algorithm uses at most $O(\log\lambda)$ ancilla qubits. PRIs with $s(\lambda)$ stretch is PRIs mapping $\lambda$ qubits to $\lambda+s(\lambda)$ qubits. To rule out the above black-box constructions, we construct a unitary oracle that separates them. For the separations, we construct an adversary based on the quantum singular value transformation, which would be independent of interest and should be useful for other oracle separations in quantum cryptography.

There are various notions of quantum pseudorandomness, such as pseudorandom unitaries (PRUs), pseudorandom state generators (PRSGs), pseudorandom function-like state generators (PRFSGs) and quantum-computable PRGs. Unlike the different notions of classical pseudorandomness, which are known to be existentially equivalent to each other, the relations among quantum pseudorandomness have yet to be fully established. We present evidence suggesting that some forms of quantum pseudorandomness are unlikely to be constructed from the others. This indicates that quantum pseudorandomness behaves quite differently from classical pseudorandomness. Our main result is a unitary oracle separation where log-length output PRFSGs exist but quantum-computable pseudorandom generators (QPRGs) with negligible correctness error do not. This result suggests that the inverse-polynomial error in the state-of-the-art construction of QPRGs from log-length PRSGs is inherent. To achieve this, we prove a novel differential geometric \emph{barrier theorem} for the product Haar measure on quantum states which replaces the usual concentration inequalities by certifying a non-negligible ``gap'' between two large trace-separated sets. Our separation is based on an oracle that outputs Haar random quantum states for each bit string, which can be viewed as a quantum version of the random oracle model, where output strings are replaced by quantum states. Variations of this oracle can be used to study other relationships between quantum cryptographic primitives, and we use it to achieve partial separations, that highlight technical difficulties when dealing with ancillary registers, measurements, and adaptivity in the quantum setting. More precisely, we obtain separations showing limitations of: (i) deriving ancilla-free pseudorandom unitaries (PRUs) from PRFSGs, and (ii) a natural way of constructing super-log-length output PRSGs from log-length output PRFSGs. The latter partly complements the known hardness of shrinking the PRSG output lengths.

In the post-quantum migration of the traditional key establishment protocol, hybrid key encapsulation mechanisms (KEMs) are recommended by standards bodies, including NIST, ETSI, and national security agencies like NCSC-UK, BSI-Germany etc. Recently, several hybrid KEMs with CCA security such as XOR-then-MAC, Dual-PRF and X-Wing (being standardized by IETF) are proposed based on CCA KEMs obtained by applying the complicated Fujisaki-Okamoto transform to public-key encryption (PKE) schemes. In some cryptographic protocols such as PQ-Noise and Signal, 1CCA security (similar to CCA security except that the adversary is restricted to one single decapsulation query) is required. However, no specific scheme has been designed to specifically achieve 1CCA security (excluding the schemes that aim to achieve CCA security, as they inherently encompass 1CCA security). In this paper, we propose CUKEM, a concise and unified hybrid KEM framework built directly on PKEs, and its variant CUKEM+, which achieves CCA security by replacing one PKE component with a nominal group. We prove that our schemes, equipped with different modules, achieve standard security notions in both the random oracle model and the quantum random oracle model, including IND-CPA, IND-1CCA, and IND-CCA. Compared to existing KEM-based constructions, CUKEM and CUKEM+ are more concise, as they simplify or even eliminate certain hash operations without compromising security. Our evaluation shows that the CCA-secure CUKEM+ achieves encapsulation and decapsulation speedups of up to 22.28% and 16.22%, respectively, over X-Wing, while the 1CCA-secure CUKEM attains gains of up to 13.97% and 104.31%.

Large-scale quantum computers capable of implementing Shor's algorithm pose a significant threat to the security of the most widely used public-key cryptographic schemes. This risk has motivated substantial efforts by standards bodies and government agencies to identify and standardize quantum-safe cryptographic systems. Among the proposed solutions, lattice-based cryptography has emerged as the foundation for some of the most promising protocols. This paper describes FrodoKEM, a family of conservative key-encapsulation mechanisms (KEMs) whose security is based on generic, "unstructured" lattices. FrodoKEM is proposed as an alternative to the more efficient lattice schemes that utilize algebraically structured lattices, such as the recently standardized ML-KEM scheme. By relying on generic lattices, FrodoKEM minimizes the potential for future attacks that exploit algebraic structures while enabling simple and compact implementations. Our plain C implementations demonstrate that, despite its conservative design and parameterization, FrodoKEM remains practical. For instance, the full protocol at NIST security level 1 runs in approximately 0.97 ms on a server-class processor, and 4.98 ms on a smartphone-class processor. FrodoKEM obtains (single-target) IND-CCA security using a variant of the Fujisaki-Okamoto transform, applied to an underlying public-key encryption scheme called FrodoPKE. In addition, using a new tool called the Salted Fujisaki-Okamoto (SFO) transform, FrodoKEM is also shown to tightly achieve multi-target security, without increasing the FrodoPKE message length and with a negligible performance impact, based on the multi-target IND-CPA security of FrodoPKE.

We prove an extension of the lower bound due to Sch\"onhage on addition chains.

In this paper, we revisit the recent Pegasis algorithm that computes an effective group action of the class group of any imaginary quadratic order $R$ on a set of supersingular elliptic curves primitively oriented by $R$. Although Pegasis was the first algorithm showing the practicality of computing unrestricted class group actions at higher security levels, it is complicated and prone to failures, which leads to many rerandomizations. We present a new algorithm, qt-Pegasis, which is much simpler, but at the same time faster and removes the need for rerandomization of the ideal we want to act with, since it never fails. It leverages the main technique of the recent Qlapoti approach. However, Qlapoti solves a norm equation in a quaternion algebra, which corresponds to the full endomorphism ring of a supersingular elliptic curve. We show that the algorithm still applies in the quadratic setting, by embedding the quadratic ideal into a quaternion ideal using a technique similar to the one applied in KLaPoTi. This way, we can reinterpret the output of Qlapoti as four equivalent quadratic ideals, instead of two equivalent quaternion ideals. We then show how to construct a Clapoti-like diagram in dimension $2$, which embeds the action of the ideal in a $4$-dimensional isogeny. We implemented our qt-Pegasis algorithm in SageMath for the CSURF group action, and we achieve a speedup over Pegasis of $1.8\times$ for the 500-bit parameters and $2.6\times$ for the 4000-bit parameters.

The random probing model is a theoretical model that abstracts the physical leakage of an embedded device running a cryptographic scheme with more realistic assumptions compared to the threshold probing model. It assumes that the wires of the target device leak their assigned values with probability $p$, and the said values may reveal information about secret data, which could lead to a security violation. From that, we can compute the probability $\epsilon$ that a side-channel adversary may learn secret data from any random combination of wires as a function of the number of wire combinations that breaches security with rate $p$. This model is used to evaluate the security of masked cryptographic implementations, or simply named circuits; and the research community has been focusing so far on approximating or estimating the probability $\epsilon$ for one circuit. Yet, no proposition has been made to quickly compare the probability $\epsilon$ of different circuits, e.g., a circuit and its optimized version. In this context, we present two statistical tests to make decisions about the level of security in the random probing model: the equivalence test compares the security of two circuits in terms of $\epsilon$'s and the superiority test decides whether the undetermined $\epsilon$ of one circuit falls below a security threshold $\epsilon_0$, both with quantified uncertainty about the computations of the probabilities $\epsilon$'s. The validity of these tests is proven mathematically sound and verified via empirical studies on small masked S-boxes.

Chen, Liu, and Zhandry [CLZ22] introduced the problems S|LWE⟩ and C|LWE⟩ as quantum analogues of the Learning with Errors problem, designed to construct quantum algorithms for the Inhomogeneous Short Integer Solution (ISIS) problem. Several later works have used this framework for constructing new quantum algorithms in specific cases. However, the general relation between all these problems is still unknown. In this paper, we investigate the equivalence between S|LWE⟩ and ISIS. We present the first fully generic reduction from ISIS to S|LWE⟩, valid even in the presence of errors in the underlying algorithms. We then explore the reverse direction, introducing an inhomogeneous variant of C|LWE⟩, denoted IC|LWE⟩, and show that IC|LWE⟩ reduces to S|LWE⟩. Finally, we prove that, under certain recoverability conditions, an algorithm for ISIS can be transformed into one for S|LWE⟩. We instantiate this reverse reduction by tweaking a known algorithm for (I)SIS∞ in order to construct quantum algorithm for S|LWE⟩ when the alphabet size q is a small power of 2, recovering some results of Bai et al. [BJK+ 25]. Our results thus clarify the landscape of reductions between S|LWE⟩ and ISIS, and we show both their strong connection as well as the remaining barriers for showing full equivalence.

In the context of Byzantine consensus problems such as Byzantine broadcast (BB) and Byzantine agreement (BA), the good-case setting aims to study the minimal possible latency of a BB or BA protocol under certain favorable conditions, namely the designated leader being correct (for BB), or all parties having the same input value (for BA). We provide a full characterization of the feasibility and impossibility of good-case latency, for both BA and BB, in the synchronous sleepy model. Surprisingly to us, we find irrational resilience thresholds emerging: 2-round good-case BB is possible if and only if at all times, at least $\frac{1}{\varphi} \approx 0.618$ fraction of the active parties are correct, where $\varphi = \frac{1+\sqrt{5}}{2} \approx 1.618$ is the golden ratio; 1-round good-case BA is possible if and only if at least $\frac{1}{\sqrt{2}} \approx 0.707$ fraction of the active parties are correct.

Quantum cryptographic definitions are often sensitive to the number of copies of the cryptographic states revealed to an adversary. Making definitional changes to the number of copies accessible to an adversary can drastically affect various aspects including the computational hardness, feasibility, and applicability of the resulting cryptographic scheme. This phenomenon appears in many places in quantum cryptography, including quantum pseudorandomness and unclonable cryptography. To address this, we present a generic approach to boost single-copy security to multi-copy security and apply this approach to many settings. As a consequence, we obtain the following new results: • One-copy stretch pseudorandom state generators (under mild assumptions) imply the existence of t-copy stretch pseudorandom state generators, for any fixed polynomial t. • One-query pseudorandom unitaries with short keys (under mild assumptions) imply the existence of t-query pseudorandom unitaries with short keys, for any fixed polynomial t. • Assuming indistinguishability obfuscation and other standard cryptographic assumptions, there exist identical-copy secure unclonable primitives such as public-key quantum money and quantum copy-protection.

European Digital Identity (EUDI) Wallet aims to provide end users with a way to get attested credentials from issuers, and present them to different relying parties. An important property mentioned in the regulatory frameworks is the possibility to revoke a previously issued credential. While it is possible to issue a short-lived credential, in some cases it may be inconvenient, and a separate revocation service which allows to revoke a credential at any time may be necessary. In this work, we propose a full end-to-end description of a generic credential revocation system, which technically relies on a single server and secure transmission channels between parties. We prove security of the proposed revocation functionality in the universal composability model, and estimate its efficiency based on a proof-of-concept implementation.

Updatable Encryption (UE) allows ciphertexts to be updated under new keys without decryption, enabling efficient key rotation. Constructing post-quantum UE with strong security guarantees is challenging: the only known CCA-secure scheme, COM-UE, uses bitwise encryption, resulting in large ciphertexts and high computational costs. We introduce $\mathsf{DINE}_\ell$, a family of compact and efficient CCA-secure isogeny-based post-quantum UE schemes parametrized by an integer $\ell$, achieving increasing security levels for $\ell = 3,4,8$. Each encryption, decryption, or update requires only a few power-of-2 isogeny computations in dimension 2. At NIST security level 1, $\mathsf{DINE}_\ell$ supports 28B messages, 480B ciphertexts, and $\ell\times336$B update tokens, significantly smaller than prior constructions. Our C implementation demonstrates practical performance, with updates in $\ell \times 15$ms, encryptions in 65ms, and decryptions in 155ms. Our design combines high-dimensional isogeny representations with the Deuring correspondence. We also introduce new algorithms for the Deuring correspondence which may be of independent interest. Moreover, the security of our scheme relies on new problems that might open interesting perspectives in isogeny-based cryptography.

Leftover Hash Lemma (LHL) states that \(\mathbf{X} \cdot \mathbf{v}\) for a Gaussian \(\mathbf{v}\) is an essentially independent Gaussian sample. It has seen numerous applications in cryptography for hiding sensitive distributions of \(\mathbf{v}\). We generalise the Gaussian LHL initially stated over \(\mathbb{Z}\) by Agrawal, Gentry, Halevi, and Sahai (2013) to modules over number fields. Our results have a sub-linear dependency on the degree of the number field and require only polynomial norm growth: \(\lVert\mathbf{v}\rVert/\lVert\mathbf{X}\rVert\). To this end, we also prove when \(\mathbf{X}\) is surjective (assuming the Generalised Riemann Hypothesis) and give bounds on the smoothing parameter of the kernel of \(\mathbf{X}\). We also establish when the resulting distribution is independent of the geometry of \(\mathbf{X}\) and establish the hardness of the \(k\)-SIS and \(k\)-LWE problems over modules (\(k\)-MSIS/\(k\)-MLWE) based on the hardness of SIS and LWE over modules (MSIS/MLWE) respectively, which was assumed without proof in prior works.

Data Availability Sampling (DAS) enables light clients to probabilistically verify that a large published object remains retrievable by sampling a small number of coded symbols and checking consistency. Most existing DAS designs are predicated on MDS-style global recovery thresholds and therefore yield an essentially binary availability signal: either sufficient evidence accumulates to enable global reconstruction, or it does not. In this work we introduce Locally Recoverable Data Availability Sampling (LR-DAS), which leverages locally recoverable codes with disjoint recovery groups to provide graded availability evidence. A verifier sequentially certifies groups: once it has verified $r$ distinct openings in a group, it can reconstruct the entire group locally and monotonically increase a certified availability fraction. The central cryptographic challenge is preventing splicing attacks, where an adversary mixes locally consistent views that do not arise from a single global codeword. We define locality-aware erasure-code commitments that formalize position binding, local binding, and an explicit local-global consistency requirement, and we give a construction that enforces local-global consistency using a single out-of-domain algebraic linking check per certified group. We prove graded soundness via overshoot bounds that decompose into a sampling term and a negligible cryptographic failure term, covering both missing-groups and missing-fraction withholding patterns. We provide two concrete instantiations: a succinct pairing-based realization and a transparent realization based on low-degree/proximity testing, and we evaluate the resulting trade-offs against representative DAS and repair-oriented approaches.

Permutation and lookup arguments are at the core of most deployed SNARK protocols today. Most modern techniques for performing them require a grand product check. This requires either committing to large field elements (e.g. in Plonk) or using GKR (e.g. in Spartan) which has worse verifier cost and proof size. Moreover, both have a soundness error that grows linearly with the input size. We reduce permutation argument to sumcheck argument and present two permutation arguments that have $\mathsf{polylog}(n)/|\mathbb{F}|$ soundness error. BiPerm only requires the prover to perform $O(n)$ field operations on top of committing to the witness, but at the cost of limiting the choices of PCS. We show a general construction, MulPerm, which has no restriction on the PCS choice and its prover performs essentially linear field operations, $n\cdot \tilde O(\sqrt{\log(n)})$. Both permutation arguments generalize to lookups. We demonstrate how our arguments can be used to improve SNARK systems such as HyperPlonk (Eurocrypt 2023) and Spartan (Crypto 2020), and build a GKR-based protocol for proving non-uniform circuits. Further, MulPerm enables the fastest succinct argument with sublinear verification for arbitrary circuits over small fields. Plugging MulPerm into prior small field constructions overcomes the previous lack of an efficient permutation argument with sufficiently small soundness error.

General-purpose probabilistic proof systems operate on programs expressed as systems of arithmetic constraints—an unfriendly representation. There are two broad approaches in the literature to turning friendlier, high-level programs into constraints suitable for proof systems: direct translation and CPU emulation. Direct translators compile a program into highly optimized constraints; unfortunately, this process requires expressing all possible paths through the program, which results in compile times that scale with the program’s runtime rather than its size. In addition, the prover must pay the cost of every possible program path, even those untaken by a given input. In contrast, CPU emulators don’t compile programs to constraints; instead, they “execute” those programs, expressed as CPU instructions, on a CPU emulator that is itself expressed as constraints. As a result, this approach can’t perform powerful, program-specific op- timizations, and may require thousands of constraints where direct translation could use a clever handful. Worse, CPU emulators inherit an impractically expensive program state representation from the CPUs they emulate. This paper presents a compiler and proof system, CoBBl, that combines the benefits of CPU emulation and direct translation: it takes advantage of program-specific optimizations, but doesn’t pay for an unnecessary state representation or unexecuted computation. COBBL outper- forms CirC, a state-of-the-art direct translator, by $1–30\times$ on compile time and $26–350\times$ on prover time, and outperforms Jolt, a state-of-the-art CPU emulator, on prover time by $1.1– 1.8\times$ on Jolt-friendly benchmarks, and up to $100\times$ on other benchmarks.

Blind signatures (BS) allow a signer to produce a valid signature on a message without learning the message itself. They have niche applications in privacy-preserving protocols such as digital cash and electronic voting. Non-interactive blind signatures (NIBS) remove the need for interaction between the signer and the user. In the post-quantum era, lattice-based NIBS schemes are studied as candidates for long-term security. In Asiacrypt 2024, Baldimtsi et al. proposed the first lattice-based NIBS construction, whose security relies on the random one-more inhomogeneous short integer solution (rOM-ISIS) assumption. This rOM-ISIS is considered to be a non-standard assumption. Later, Zhang et al. introduced another lattice-based construction in ProvSec 2024, and proved its security under the standard module short integer solution (MSIS) assumption. We analyse the security of the latter scheme. In the random oracle model, we show that it fails to achieve both nonce blindness and receiver blindness. We present explicit attacks where an adversary breaks both properties with probability~1. Our attack is based on a crucial observation that uncovers a flaw in the design. Specifically, this flaw allows an attacker to link a message-signature pair with its presignature-nonce pair. In addition, we also identify a flaw in the unforgeability proof. Finally, we suggest a modification to address the issue, which is similar to Baldimtsi et al. construction, and its security relies again on the non-standard rOM-ISIS assumption. This work again raises the question of the feasibility of achieving NIBS from standard assumptions.

Privacy Pass is an anonymous authentication protocol which was initially designed by Davidson et al. (PETS’18) to reduce the number of CAPTCHAs that TOR users must solve. It issues single-use authentication tokens with anonymous and unlinkable redemption guarantees. The issuer and verifier of the protocol share a symmetric key, and tokens are privately verifiable. The protocol has sparked interest from both academia and industry, which led to an Internet Engineering Task Force (IETF) standard. While Davidson et al. formally analyzed the original protocol, the IETF standard introduces several changes to their protocol. Thus, the standardized version’s formal security remains unexamined. We fill this gap by analyzing the IETF standard’s privately verifiable Privacy Pass protocol. In particular, there are two main discrepancies between the analyzed and standardized version: First, the IETF version introduces a redemption context, that can be used for blindly embedding a validity period into the Privacy Pass tokens. We show that this variant has significant differences to public metadata extension that has been proposed for the same purpose in the literature. Redemption context offers better privacy and security than public metadata. We capture both stronger guarantees through game-based security definitions and show that the currently considered one-more unforgeability notion for Privacy Pass is insufficient when a redemption context is used. Thus, we propose a new property, targeted context unforgeability, and prove its incomparability to one-more unforgeability. Second, Davidson et al. focused on a concrete Diffie-Hellman based construction, whereas the IETF version is built generically from a verifiable oblivious pseudorandom function (VOPRF). Further, the analyzed protocol omitted the full redemption phase needed to prevent double-spending. We prove that the generic IETF construction satisfies the desired security and privacy guarantees covering the full life-cycle of tokens. Our analysis relies on natural security properties of VOPRFs, providing compatibility with any secure VOPRF instantiation. This enables crypto agility, e.g., allowing to switch to efficient quantum-safe VOPRFs when they become available.

Fiat-Shamir signatures replace the challenge in interactive identification schemes by a hash value over the commitment, the message, and possibly the signer's public key. This construction paradigm is well known and widely used in cryptography, for example, for Schnorr signatures and CRYSTALS-Dilithium. There is no ``general recipe'' for constructing Fiat-Shamir signatures regarding the inputs and their order for the hash computation, though, since the hash function is usually modeled as a monolithic random oracle. In practice, however, the hash function is based on the Merkle-Damgård or the sponge design. Our work investigates whether there are advisable or imprudent input orders for hashing in Fiat-Shamir signatures. We examine Fiat-Shamir signatures with plain and nested hashing using Merkle-Damgård or sponge-based hash functions. We analyze these constructions in both classical and quantum settings. As part of our investigations, we introduce new security properties following the idea of quantum-annoyance of Eaton and Stebila (PQCrypto 2021), called annoyance for user exposure and signature forgeries. These properties ensure that an adversary against the hash function cannot gain a significant advantage when attempting to extend a successful attack on a single signature forgery to multiple users or to multiple forgeries of a single user. Instead, the adversary must create extra forgeries from scratch. Based on our analysis, we derive a simple rule: When using Fiat-Shamir signatures, one should hash the commitment before the message; all other inputs may be ordered arbitrarily.

On-the-fly multi-party computation (OtF-MPC, López-Alt, Tromer, and Vaikuntanathan, STOC 2012) allows clients to join a computation dynamically without remaining online, while outsourcing the computation to an untrusted but powerful server. Existing OtF-MPC constructions rely on composing multi-party homomorphic encryption with zero-knowledge or succinct arguments. While both components have seen substantial efficiency and expressivity improvements in recent years, the security of their composition has not been revisited under these modern refinements. In this work, we revisit OtF-MPC through the lens of composable security. We extend the original analysis to systematically capture recent advances in these two building blocks, and to reason about their secure composition. We focus on multi-group homomorphic encryption (MGHE), a unifying abstraction that generalizes threshold and multi-key HE, and emerges as the natural backbone for OtF-MPC. Our contributions are fourfold. (1) We introduce the first Universal Composability (UC) ideal functionality for MGHE, jointly modeling client and server privacy, approximate or imperfect computation, and threshold security. (2) We define fine-grained security notions for MGHE and show that they are sufficient to realize this functionality against semi-malicious adversaries. (3) We revisit generic compilers that combine MGHE with any-simulation-extractable zkSNARKs, and prove that they realize OtF-MPC against fully malicious adversaries. (4) We introduce a split-witness ideal functionality for NIZKs, which separates the witness component that must be supplied by the ideal adversary from an existential component that only needs to be certified. We show that a Naor--Yung-style composition of MGHE and split-witness NIZKs realizes OtF-MPC while avoiding full extraction from the NIZK

Following the announcement of the first winners of the NIST post-quantum cryptography standardization process in 2022, cryptographic protocols are now undergoing migration to the newly standardized schemes. In most cases, this transition is realized through a hybrid approach, in which algorithms based on classical hardness assumptions, such as the discrete logarithm problem, are combined with post-quantum algorithms that rely on quantum-resistant assumptions, such as the Short Integer Solution (SIS) problem. A combiner for signature schemes can be obtained by simply concatenating the signatures of both schemes. This construction preserves unforgeability of the underlying schemes; however, it does not extend to stronger notions, such as strong unforgeability. Several applications, including authenticated key exchange and secure messaging, inherently require strong unforgeability, yet no existing combiner is known to achieve this property. This work introduces three practical combiners that preserve strong unforgeability and all BUFF (beyond unforgeability features) properties. Each combiner is tailored to a specific class of classical signature schemes capturing all broadly used schemes that are strongly unforgeable. Remarkably, all combiners can be instantiated with any post-quantum signature scheme in a black-box way making deployment practical and significantly less error prone. The proposed solutions are further highly efficient and have signatures that are at most the size of the (insecure) concatenation combiner. For instance, our most efficient combiner enables the combination of EdDSA with ML-DSA, yielding a signature size that is smaller than the sum of an individual EdDSA signature and an individual ML-DSA signature. Additionally, we identify a novel signature property that we call random-message validity and show that it can be used to replace the BUFF transform with the more efficient Pornin-Stern transform. The notion may be of independent interest.

Signal's handshake protocol non-interactively generates a shared key between two parties for secure communication. The underlying protocol X3DH, on which the post-quantum hybrid successor, PQXDH, builds, computes three to four individual Diffie-Hellman (DH) keys by combining the long-term identity keys and the ephemeral secrets of the two parties. Each of these DH operations serves a different purpose, either to authenticate the derived key or to provide forward secrecy. We present here an improved protocol for X3DH, which we call MuDH, and an improved protocol for PQXDH, pq-MuDH. Instead of computing the individual DH keys, we run a single multi-valued DH operation for integrating all contributions simultaneously into a single DH key. Our approach is based on techniques from batch verification (Bellare et al., Eurocrypt 1998), where one randomizes each contribution of the individual keys to get a secure scheme. The solution results in execution times of roughly 60% of the original protocol, both in theory and in our benchmarks on mobile and desktop platforms. Our modifications are confined to the key derivation step, both Signal’s server infrastructure for public key retrieval and the message flow remain unchanged.

Secure key leasing (SKL) enables the holder of a secret key for a cryptographic function to temporarily lease the key using quantum information. Later, the recipient can produce a deletion certificate—a proof that they no longer have access to the secret key. The security guarantee ensures that even a malicious recipient cannot continue to evaluate the function, after producing a valid deletion certificate. Most prior work considers an adversarial recipient that obtains a single leased key, which is insufficient for many applications. In the more realistic collusion-resistant setting, security must hold even when polynomially many keys are leased (and subsequently deleted). However, achieving collusion-resistant SKL from standard assumptions remains poorly understood, especially for functionalities beyond decryption. We improve upon this situation by introducing new pathways for constructing collusion-resistant SKL. Our main contributions are as follows: - A generalization of quantum-secure collusion-resistant traitor tracing called multi-level traitor tracing (MLTT), and a compiler that transforms an MLTT scheme for a primitive $X$ into a collusion-resistant SKL scheme for primitive $X$. - The first bounded collusion-resistant SKL scheme for PRFs, assuming LWE. - A compiler that upgrades any single-key secure SKL scheme for digital signatures into one with unbounded collusion-resistance, assuming OWFs. - A compiler that upgrades collusion-resistant SKL schemes with classical certificates to ones having verification-query resilience, assuming OWFs.

Ring signatures enable a user to sign anonymously on behalf of a group, providing a fundamental building block for privacy-preserving applications such as anonymous credentials and private transactions. Existing post-quantum constructions, however, face a persistent tension between efficiency and rigorous quantum security: practical schemes are typically analysed only in the classical random oracle model (ROM), whereas schemes with proofs in the quantum random oracle model (QROM) either incur multi-megabyte signatures, lack implementations, or rely on reductions too loose to support concrete parameter selection. We present PegaRing, the first post-quantum ring signature to combine practical performance with concretely parameterised security in QROM. At the 128-bit security level and a ring size of 1024, PegaRing produces 28KB signatures, reducing signature size by a factor of 88 relative to the smallest prior concretely parameterised QROM-secure construction. Our implementation signs in 4.325 ms and verifies in 3.074 ms. Compared with the state-of-the-art VOLE-in-the-head ring signature, which is proven secure only in classical ROM, PegaRing reduces signing and verification latency by factors of 2.65 and 3.80, respectively, while providing security in QROM. Finally, when using the first message-dependent Fiat-Shamir challenge as the boundary between offline and online computation, PegaRing's online signing phase takes 0.018 ms, compared with 7.611 ms for VOLE-in-the-head construction, achieving a reduction of more than 400 times. These results substantially narrow the gap between rigorous quantum security and practical performance for post-quantum ring signatures and make QROM-secure anonymous authentication feasible for various anonymity sets.

One-way puzzles (OWPuzzs) introduced by Khurana and Tomer [STOC 2024] are a natural quantum analogue of one-way functions (OWFs), and one of the most fundamental primitives in ''Microcrypt'' where OWFs do not exist but quantum cryptography is possible. OWPuzzs are implied by almost all quantum cryptographic primitives, and imply several important applications such as non-interactive commitments and multi-party computations. A significant goal in the field of quantum cryptography is to base OWPuzzs on plausible assumptions that will not imply OWFs. In this paper, we base OWPuzzs on hardness of non-collapsing measurements. To that end, we introduce a new complexity class, $\mathbf{SampPDQP}$, which is a sampling version of the decision class $\mathbf{PDQP}$ introduced in [Aaronson, Bouland, Fitzsimons, and Lee, ITCS 2016]. We show that if $\mathbf{SampPDQP}$ is hard on average for quantum polynomial time, then OWPuzzs exist. We also show that if $\mathbf{SampPDQP}\not\subseteq\mathbf{SampBQP}$, then auxiliary-input OWPuzzs exist. $\mathbf{SampPDQP}$ is the class of sampling problems that can be solved by a classical polynomial-time deterministic algorithm that can make a single query to a non-collapsing measurement oracle, which is a ''magical'' oracle that can sample measurement results on quantum states without collapsing the states. Such non-collapsing measurements are highly unphysical operations that should be hard to realize in quantum polynomial-time, and therefore our assumptions on which OWPuzzs are based seem extremely plausible. Moreover, our assumptions do not seem to imply OWFs, because the possibility of inverting classical functions would not be helpful to realize quantum non-collapsing measurements. We also study upperbounds of the hardness of $\mathbf{SampPDQP}$. We introduce a new primitive, distributional collision-resistant puzzles (dCRPuzzs), which are a natural quantum analogue of distributional collision-resistant hashing [Dubrov and Ishai, STOC 2006]. We show that dCRPuzzs imply average-case hardness of $\mathbf{SampPDQP}$ (and therefore OWPuzzs as well). We also show that two-message honest-statistically-hiding commitments with classical communication and one-shot message authentication codes (MACs), which are a privately-verifiable version of one-shot signatures [Amos, Georgiou, Kiayias, Zhandry, STOC 2020], imply dCRPuzzs.

Zero-knowledge succinct arguments of knowledge (zkSNARK) provide short privacy-preserving proofs for general NP problems. Public verifiability of zkSNARK protocols is a desirable property, where the proof can be verified by anyone once generated. Designated-verifier zero-knowledge is useful when it is necessary that only one or a few individuals should have access to the verification result. All zkSNARK schemes are either fully publicly verifiable or can be verified by a designated verifier with a secret verification key. In this work, we propose a new notion of a hybrid verification mechanism. Here, the prover generates a proof that can be verified by a designated verifier. For this proof, the designated verifier can generate auxiliary information with its secret key. The combination of this proof and the auxiliary information allows any public verifier to verify the proof without any other information. We also introduce necessary security notions and mechanisms to identify a cheating designated verifier or the prover. Our hybrid verification zkSNARK construction is based on module lattices and adapts the zkSNARK construction by Ishai et al. (CCS 2021). In this construction, the designated verifier is required only once after proof generation to create the publicly verifiable proof. Our construction achieves a small constant-size proof and fast verification time, which is linear in the statement size.

LESS is a digital signature scheme that is currently in the second round of the National Institute of Standards and Technology’s (NIST’s) ongoing call for standardization of additional post-quantum signature schemes. Recently, the ZKfault attack by Mondal et al. (Asiacrypt 2024) showed several attack surfaces on the first version of LESS (LESS-v1) that can be exploited using different fault attacks. However, the designers of LESS have updated the scheme in the second round to improve efficiency and signature size. The fault attacks in ZKfault are not directly applicable to this new version of LESS (LESS-v2). The physical security of LESS-v2 is still unexplored. In this work, we analyze the new structure of the LESS-v2 signature scheme and propose a method for universal forgery. One crucial observation is that, for LESS-v2, an adversary does not require the full signing key, but some other secret-related information, namely, a permutation of secret monomial matrices. We assume an adversary can use execution interruption techniques, such as fault attacks, to recover this extra information. We have analyzed multiple such attack surfaces in the design of LESS-v2, and using fault injection, we can recover secret-related information. We showed the average number of required faults for two particular fault models to recover the secret equivalent component and observed that, for most parameters, we need only 1 faulted signature, and at most 1088. Our attacks rely on simple and standard fault models. We demonstrated these using both simulation and a simple experimental setup.

With the rapid advances in quantum computer architectures and the emerging prospect of large-scale quantum memory, it is becoming essential to classically verify that remote devices genuinely allocate the promised quantum memory with specified number of qubits and coherence time. In this paper, we introduce a new concept, proofs of quantum memory (PoQM). A PoQM is an interactive protocol between a classical probabilistic polynomial-time (PPT) verifier and a quantum polynomial-time (QPT) prover over a classical channel where the verifier can verify that the prover has possessed a quantum memory with a certain number of qubits during a specified period of time. PoQM generalize the notion of proofs of quantumness (PoQ) [Brakerski, Christiano, Mahadev, Vazirani, and Vidick, JACM 2021]. Our main contributions are a formal definition of PoQM and its constructions based on hardness of LWE. Specifically, we give two constructions of PoQM. The first is of a four-round and has negligible soundness error under subexponential-hardness of LWE. The second is of a polynomial-round and has inverse-polynomial soundness error under polynomial-hardness of LWE. As a lowerbound of PoQM, we also show that PoQM imply one-way puzzles. Moreover, a certain restricted version of PoQM implies quantum computation classical communication (QCCC) key exchange.

LOL (League of Legends) is a general framework for designing blockwise stream ciphers to achieve higher software performance in 5G/6G. Following this framework, stream ciphers LOL-MINI and LOL-DOUBLE are proposed, each with a 256-bit key. This paper focuses on analyzing their security against correlation attacks. Additionally, we propose an observation on constructing linear approximation trails. The repeated linear approximations in trails may not only increase the number of active S-boxes but also make the correlations of corresponding approximations zero. We propose a new rule to address this situation and develop multiple correlation attacks. Furthermore, we use theoretical cryptanalysis to lower the time complexity of aggregation and construct multiple linear approximations efficiently. For LOL-MINI, we construct approximately $2^{32.17}$ linear approximations with absolute correlations ranging from $2^{-118.38}$ to $2^{-127}$. We launch the developed multiple correlation attack on LOL-MINI with a time complexity of $2^{250.56}$, a data complexity of $2^{250}$, a memory complexity of $2^{250}$ and a success probability of 99.4$\%$. For LOL-DOUBLE, there similarly exist approximately ${{2}^{22.86}}$ linear approximations with absolute correlations ranging from $2^{-147.23}$ to $2^{-156}$. It is worth noting that our results do not violate the declaration of LOL-MINI since the maximum length of keystreams for a single pair of key and IV is less than $2^{64}$.

Computer-aided cryptography, with particular emphasis on formal verification, promises an interesting avenue to establish strong guarantees about cryptographic primitives. The appeal of formal verification is to replace the error-prone pen-and-paper proofs with a proof that was checked by a computer and, therefore, does not need to be checked by a human. In this paper, we ask the question of how reliable are these machine-checked proofs by analyzing a formally verified implementation of the Line-Point Zero-Knowledge (LPZK) protocol (Dittmer, Eldefrawy, Graham-Lengrand, Lu, Ostrovsky and Pereira, CCS 2023). The implementation was developed in EasyCrypt and compiled into OCaml code that was claimed to be high-assurance, i.e., that offers the formal guarantees of guarantees of completeness, soundness, and zero knowledge. We show that despite these formal claims, the EasyCrypt model was flawed, and the implementation (supposed to be high-assurance) had critical security vulnerabilities. Concretely, we demonstrate that: 1) the EasyCrypt soundness proof was incorrectly done, allowing an attack on the scheme that leads honest verifiers into accepting false statements; and 2) the EasyCrypt formalization inherited a deficient model of zero knowledge for a class of non-interactive zero knowledge protocols that also allows the verifier to recover the witness. In addition, we demonstrate 3) a gap in the proof of the perfect zero knowledge property of the LPZK variant of Dittmer, Ishai, Lu and Ostrovsky (CCS 2022) that the EasyCrypt proof is based, which, depending on the interpretation of the protocol and security claim, could allow a malicious verifier to learn the witness. Our findings highlight the importance of scrutinizing machine-checked proofs, including their models and assumptions. We offer lessons learned for both users and reviewers of tools like EasyCrypt, aimed at improving the transparency, rigor, and accessibility of machine-checked proofs. By sharing our methodology and challenges, we hope to foster a culture of deeper engagement with formal verification in the cryptographic community.

Threshold fully homomorphic encryption (ThFHE) enables multiple parties to perform arbitrary computation over encrypted data, while the secret key is distributed across the parties. The main task of designing ThFHE is to construct threshold key-generation and decryption protocols for FHE schemes. Among existing FHE schemes, FHEW-like cryptosystems enjoy the advantage of fast bootstrapping and small parameters. However, known ThFHE solutions use the ``noise-flooding'' technique to realize threshold decryption, which requires either large parameters or switching to a scheme with large parameters via bootstrapping, leading to a slow decryption process. Besides, for key generation, existing ThFHE schemes either assume a generic MPC or a trusted setup, or incur noise growth that is linear in the number $n$ of parties. In this paper, we propose a fast ThFHE scheme Ajax, by designing threshold key-generation and decryption protocols for FHEW-like cryptosystems. In particular, for threshold decryption, we eliminate the need for noise flooding, and instead present a new technique called ``mask-then-open'' based on random double sharings over different rings, while keeping the advantage of small parameters. For threshold key generation, we show a simple approach to reduce the noise growth from $n$ times to $max(0.038n,2)$ times in the honest-majority setting, where at most $t=\floor{(n-1)/2}$ parties are corrupted. Our end-to-end implementation reports the running time 17.6 $s$ and 0.9 $ms$ (resp., 91.9 $s$ and 4.4 $ms$) of generating a set of keys and decrypting a single ciphertext respectively, for $n=3$ (resp., $n=21$) parties under the network of 1 Gbps bandwidth and 1 $ms$ ping time. Compared to the state-of-the-art implementation, our protocol improves the end-to-end performance of the threshold decryption protocol by a factor of at least $5.7\times$ $\sim$ $283.6\times$ across different network latencies from $t=1$ to $t=13$. Our approaches can also be applied in other types of FHE schemes like BGV, BFV, and CKKS.

We construct a public-key encryption scheme from the hardness of the (planted) MinRank problem over uniformly random instances. This corresponds to the hardness of decoding random linear rank-metric codes. Existing constructions of public-key encryption from such problems require hardness for structured instances arising from the masking of efficiently decodable codes. Central to our construction is the development of a new notion of duality for rank-metric codes.

The ZUC stream cipher is integral to modern mobile communication standards, including 4G and 5G, providing secure data transmission across global networks. Recently, Dutta et al. (Indocrypt, 2024) presented the first quantum resource estimation of ZUC under Grover's search, Although preliminary, this work marks the beginning of quantum security analysis for ZUC. In this paper, we present an improved quantum resource estimation for ZUC, offering tighter bounds for Grover-based exhaustive key search. Beyond traditional quantum resource estimations, we also provide a concrete timescale required to execute such attacks using the specified quantum resources. Our findings show that a full-round, low depth implementation of ZUC-128 can be realized with a maximum of $375$ ancilla qubits, a T-count of $106536$, and a T-depth of $15816$. Furthermore, the Grover-based key search can be performed most efficiently using $1201$ logical qubits, $170681$ T gates, and a T-depth of $78189$, resulting in a runtime of $1.78\times10^{11}$ years, an improvement of 93.43% over the estimated $2.71 \times 10^{12}$ years by the implementation given by Dutta et al., we also provide akin analysis for ZUC-256 with an 99.23% decrease in time. These estimations are done assuming state-of-the-art superconducting qubit error-correcting technology.

Authenticated garbling, introduced by Wang et al., CCS'17, is a leading paradigm for achieving constant-round maliciously-secure 2PC. In this work, we upgrade authenticated garbling to efficiently support tensor gates (introduced in the context of semi-honest garbling by Heath et al., CCS'21) using the one-hot garbling technique. Our maliciously-secure garbled tensor gate computes $\boldsymbol {x}\otimes \boldsymbol{y}$ for $\boldsymbol{x}\in \{0,1\}^n,\boldsymbol{y} \in \{0,1\}^m$ with $O(n+m)\kappa + O(nm)$ bits of communication, where $\kappa$ is the computational security parameter and $n,m$ are logarithmic in $\kappa$. This improves the best prior constant-round maliciously secure approach, which incurs $O(nm)\kappa$ communication. Our protocol is concretely efficient and improves over state-of-the-art for applications including integer multiplication, matrix multiplication, and more. We benchmark the online phase of our protocol and observe a $5.41\times$ improvement in communication and $3.35\times$ improvement in wall clock time when computing a $128\times 128$ bit tensor product.

ChaCha and Salsa are two ARX based stream ciphers which are widely used in data encryption including TLS v1.3 standard, VPN software etc. Exploiting Probabilistic Neutral Bits (PNB) is one of the most significant cryptanalysis strategies for reduced-round versions of these ciphers. The seminal work using PNB by Aumasson et al. (FSE 2008) claims that the PNB set mostly depends on the output bit difference occurring in the intermediate round. The subsequent works mainly relied on the differential or differential-linear cryptanalysis, or multiple distinct input-output differentials for which the bias is higher than a threshold in the intermediate round. In this paper, we propose a new PNB set construction based on multiple output bit differences with respect to a single input bit difference only. We exploit the differentials to mount key recovery attacks using a multi-step procedure depending on our new PNB set. Our attack achieves a time complexity of $2^{167.90}$ for ChaCha20/7 and $2^{183.54}$ for Salsa20/8 in 256-bit versions, beating all the existing PNB-based attacks on ChaCha20/7 and Salsa20/8 by a significant margin. Further, both our time and data complexities for ChaCha20/7.5 are better than the latest published works by Flórez-Gutiérrez and Todo (Eurocrypt 2025 and Asiacrypt 2025). For 128-bit versions, our attack procedure results in a time complexity of $2^{115.24}$ for ChaCha20/6.5 and $2^{98.40}$ for Salsa20/7.5 respectively. We have also verified our attack experimentally on a published toy version of ChaCha (FSE 2023).

Proof-of-stake blockchains require consensus protocols that support Dynamic Availability and Reconfiguration (which we call the DAR model). Here, Dynamic Availability means that the consensus protocol should remain live even if a large number of nodes temporarily crash, and Reconfiguration means it should be possible to change the set of operating nodes over time. State-of-the-art protocols inspired by the DAR model, such as Ethereum, Cardano's Ouroboros, or Snow White, require additional model features comprising external mechanisms or node capabilities that are difficult to justify, such as social consensus or the requirement that key evolution be performed even when nodes have crashed. The key result of this paper is the necessary and sufficient adversarial condition under which consensus can be achieved in the plain DAR model, without any extra features. We then introduce an additional feature to the model that is justified by proof-of-stake blockchain designs: honest nodes complete a sign-off procedure the moment they express intent to exit from the set of operating nodes. This additional feature reduces the power of the adversary relative to the plain DAR model and helps us obtain a bootstrapping gadget that is particularly simple and efficient in the common optimistic case of few reconfigurations and no double spending.

Linear error-correcting codes with fast encoding and high minimum distance are a central primitive across modern cryptography. They appear prominently in at least two domains: (1) pseudorandom correlation generators (PCGs), which enable sublinear-communication generation of correlations such as oblivious transfer and vector oblivious linear evaluation, and (2) zero-knowledge proof systems, where linear-time encoders underpin proof soundness and scalability. In both settings, the prover or sender must multiply by a large generator matrix $\mathbf{G}$, often with dimensions in the millions, making computational efficiency the dominant bottleneck. We propose a generalized paradigm for building crypto-friendly binary codes with provable minimum distance. Roughly speaking, these codes are based on randomized turbo codes such as repeat-accumulate codes. We prove linear asymptotic minimum distance and compute the exact expected weight spectrum for concrete sizes. We observe that our codes approach the Gilbert-Varshamov distance bound and outperform prior constructions. We construct several novel codes, the most promising of which we call Block-Accumulate codes. Among codes with provable distance, our code is $8\times$ faster than the state of the art on a CPU and $50\times$ faster on a GPU; even against aggressive parameters with conjectured distance, it is $3\times$ and $20\times$ faster, respectively. Under these parameters, this yields overall PCG speedups of $2.5\times$ on the CPU and $15\times$ on the GPU, achieving a projected 200$+$ million OTs per second, or about 100 million binary Beaver triples per second, on the GPU (excluding the one-time 10 ms GGM seed expansion). We also observe a $2\times$ encoding speedup and half the peak memory consumption in the Blaze zero-knowledge (PCS) scheme of Brehm et al. (EUROCRYPT~'25).

Blind signatures have become a cornerstone for privacy-sensitive applications such as digital cash, anonymous credentials, and electronic voting. The elliptic curve variant of the Digital Signature Algorithm (ECDSA) is widely adopted due to its efficiency in resource-constrained environments, such as mobile devices and blockchain systems. Building blind ECDSA is hence a natural goal. One presents the first such construction relying solely on the ECDSA assumption. Despite the inherent complexities in integrating blindness with ECDSA, we design a protocol that ensures both unforgeability and blindness without introducing new computational assumptions and ensuring concurrent security. It involves zero-knowledge proofs based on the MPC-in-the-head paradigm for complex statements combining relations on encrypted elliptic curve points, their coordinates, and discrete logarithms.

A central challenge in data security is not just preventing theft, but detecting whether it has occurred. Classically, this is impossible because a perfect copy leaves no evidence. Quantum mechanics, on the other hand, forbids general duplication, opening up new possibilities. We introduce Proofs of No Intrusion, which enable a classical client to remotely test whether a quantum server has been hacked and the client's data stolen. Crucially, the test does not destroy the data being tested, avoiding the need to store a backup elsewhere. We define and construct proofs of no intrusion for ciphertexts assuming fully homomorphic encryption. Additionally, we show how to equip several constructions of unclonable primitives with proofs of non-intrusion, such as unclonable decryption keys and signature tokens. Conceptually, proofs of non-intrusion can be defined for essentially any unclonable primitive. At the heart of our techniques is a new method for non-destructively testing coset states with classical communication. It can be viewed as a non-destructive proof of knowledge of a measurement result of the coset state.

We present a novel analysis of a quantum algorithm computing the S-unit group for a number field from Eisenträger et al. [EHKS14a] and Biasse and Song [BS16]. We prove that this quantum algorithm runs within polynomial time, where we explicitly quantify the polynomials of the quantum gate and memory complexity (under GRH). We do so by carefully analyzing an implementation of an Continuous Hidden Subgroup Problem (CHSP) oracle function whose period is the (logarithm of the) S-unit group, and provide it to an CHSP-solving algorithm as in [BDF19]. Our analysis is novel due to minimizing the use of the quantum memory-inefficient LLL-reduction, by resorting to strategically chosen precomputations of approximations of high powers of prime ideals. Additionally, we provide a new quantum algorithm computing a discrete Gaussian superposition analogue of the GPV algorithm by Gentry et al. [GPV08]. Lastly, we include a full and rigorous numerical analysis of all parts of the oracle-function computing algorithm, allowing to use fixed-point precision arithmetic and thus to precisely quantify the run-time and memory.

Privacy-preserving technologies are a well-established area of research for modern digital systems, driven by regulatory mandates, such as the GDPR, and growing demand for the user privacy. A notable example of such technologies is blind signatures: a primitive that supports a creation of privacy-sensitive applications, ranging from secure e-voting and anonymous digital cash to privacy-preserving credentials and identity management systems. In this work, we introduce Coppercloud, a blind server-supported RSA signature scheme designed to enhance privacy in digital identity systems. Coppercloud enables a user to obtain a signature on a message, without revealing its content to the supporting server, while distributing the signing key between the user's device and the supporting server. We formalize the security requirements for blind server-supported signing by defining an ideal functionality ${\mathcal{F}^{\textsf{BlindSpl}}}$, and prove that Coppercloud securely realizes this functionality in the Universal Composability (UC) model.

This paper presents a unified information-theoretic framework for steganography that simultaneously addresses reliability, statistical undetectability, computational security, and robustness over noisy channels. Unlike prior work that treated these aspects separately under idealized assumptions, the framework formalizes them within a single model, providing definitions, capacity bounds, and impossibility results based on statistical distances. It also considers computationally bounded adversaries and trade-offs between payload, detectability, and error, offering a rigorous foundation for designing secure, robust, and efficient steganographic systems.

One-sided linear systems of the form ``$Ax=b$'' are well-known and extensively studied over the tropical (max-plus) semiring and wide classes of related idempotent semirings. The usual approach is to first find the greatest solution to such system in polynomial time and then to solve a much harder problem of finding all minimal solutions. We develop an extension of this approach to the same systems over two well-known extensions of the tropical semiring: symmetrized and supertropical, and discuss the implications of our findings for the tropical cryptography.

Mental Poker enables two players to play card games at a distance without having a physical deck of cards at hand, as long as they have reliable trapdoor permutations or access to Oblivious Transfer (OT). OT itself can be stored and extended using just a one-way function. We examine whether Mental Poker can be extended from initial hands of ordinary physical poker. On the theoretical side, this work establishes OT amplification/extraction as a cryptographic primitive using asymmetrically-viewed fully-randomizing permutations. On the pragmatic, it is naturally related to ``card cryptography'' although in a very restricted sense: 52-card deck protocols using fully scrambling shuffles. While secret-key exchange protocols make strong use of full shuffles, full shuffles are avoided in 2PC/AND/Solitaire card settings because of detrimental over-randomization. Within those domains, this work explains decades-old impossibility conjectures in certain circumstances. More positively, we provide several practical and information-theoretically secure ways to establish base OTs from 5-Card Draw over ordinary decks at rates sufficient to establish a foothold for indefinite Mental Poker extension in just an afternoon of play.

Plaintext-awareness of AEAD schemes is one of the more obscure and easily misunderstood notions. Originally proposed by Andreeva et al., Mennink and Talnikar showed in 2025 that the original definitions are vague and leave too much room for interpretation. They presented new definitions and analyzed the three main AEAD compositions relative to the new definitions. In particular, they showed that MAC-then-Encrypt (MtE) is not plaintext-aware. However, they showed that an SIV-style variant is indeed plaintext-aware. In this work, we first show that their analysis contains a gap, voiding their proof. We show this by showing several attacks; against their choice of extractor, with trivial complexity, and against any extractor, with birthday-bound complexity. Next, we re-establish their results by designing a new extractor that captures their intended goal and prove a tight PA1 security bound. We also show that the result is not dependent on the encryption scheme used, by showing that an extractor can also be designed for sMtE[ΘCB3], a variant where the encryption step is done by an ΘCB3-like scheme. Afterwards, we strengthen their results, by revisiting other compositions. In particular, we show that Encrypt-then-MAC (EtM) is in fact PA2-secure. Furthermore, we show that SIV-style MtE cannot be PA2-secure. Additionally, we show that Encode-then-Encipher is also PA2-secure, but not beyond the first successful forgery. More importantly, we show that up to some necessary assumptions, PA2 and RAE are equivalent. This result, while positive, holds only up to the first successful forgery. This indicates that the PA2 formalization maybe too strong for practical schemes, since we believe RAE sufficient for intuitive security. Last but not least, we investigate the value of the notion of plaintext awareness. We look deeper into the relation between plaintext awareness and confidentiality. We show that the problem of confidentiality in the presence of release of unverified plaintext can be seen as a confidentiality-with-leakage problem in the simulatable leakage framework. In this regard, we start, by showing that PA1 security cannot imply confidentiality with leakage. Similarly, we compare our results to the AERUP notion of TOSC 2019. We show that a scheme can be AERUP secure but not secure against a somewhat straightforward left-or-right attack in the same model. This puts into question the meaning and relevance of the PA1 and AERUP security notions. Results based on these notions can be seen as providing security in a two-phase game, where the adversary does not observe any leakage after the first challenge query, as we argue in the paper. On the positive side, we show that if a scheme achieves IND-CPA, INT-RUP and PA2, then it achieves confidentiality with leakage for the appropriate leakage function. This closes a gap in the literature on the relation between confidentiality with leakage and RUP notions.

Group-action-based Sigma protocols have proven to be truly flexible for the design of advanced cryptosystems. When they are compiled via the Fiat-Shamir transform, the resulting NIZKPs can be efficiently optimized using standard techniques within the fixed-weight framework. Unfortunately, the same techniques are not as effective when they are combined with straight-line extractable NIZKPs (e.g. Fischlin, CRYPTO '05), a key building block in the design of complex protocols. This work introduces the GAO (Group Action Oriented) transform, a new generic compiler that produces straight-line extractable NIZKPs from Sigma protocols while significantly simplifying the analysis of the fixed-weight framework. The GAO transform is then optimized in two different ways. First, by defining a collision predicate that results to be even more effective combined with GAO than with the Fischlin transform, for which was originally introduced (Kondi and shelat, ASIACRYPT '22). Second, adopting a technique, which we call Stretch-and-Compress (SC), that enables trading a smaller number of expensive operations for a larger number of inexpensive ones, which surprisingly leads to a reduction of both the computational complexity and the proof size. Our final transform, obtained from GAO applying the two optimizations, is called SC-Coll-GAO. The practical advantages of the SC-Coll-GAO transform are theoretically motivated and concretely tested on the Sigma protocol underlying the Fiat-Shamir digital signature LESS, a code-based candidate that recently advanced to the second round of the NIST standardization process specifically purposed for post-quantum signatures. Remarkably, when compared to the Fiat-Shamir LESS baseline, SC-Coll-GAO incurs a computational cost increase by 50-60%, while signature sizes grow by only 10-20%.

This work studies the security and constructions of correlation robust (CR) hash functions in secure multi-party computation (MPC). Existing definitions of CR hashing are all game-based (i.e., no simulator to achieve programmability or extractability), but MPC protocols are proven secure in the simulation-based models including both stand-alone and universal composability models. We found that for some MPC protocols, e.g., TinyOT-like authenticated-triple generation protocols and correlated oblivious transfer (COT) extension protocols, such a mismatch could lead to a gap in security proofs, even for the semi-honest adversary and stand-alone model. To bridge the gap, we introduce a simulation-based security notion for CR hash functions to allow secure composition. Instead of building from scratch, we introduce such a simulator to a wide class of existing ideal-cipher-based CR hashing constructions, and derive the security bound from their original game-based CR security. This enables us to obtain an efficient CR hashing construction making just one call to a blockcipher, and is much more efficient than the construction from a random oracle used in previous TinyOT-like protocols. We showcase the utility of the new CR notion in easing security proofs and mitigating the risk of errors on two classes of protocols: (1) authenticated-triple generation protocols in the TinyOT family with a countermeasure; (2) COT extension protocols with bootstrapped iterations.

A random local function defined by a $d$-ary predicate $P$ is one where each output bit is computed by applying $P$ to $d$ randomly chosen bits of its input. These represent natural distributions of instances for constraint satisfaction problems. They were put forward by Goldreich as candidates for low-complexity one-way functions, and have subsequently been widely studied also as potential pseudo-random generators. We present a new search-to-decision reduction for random local functions defined by any predicate of constant arity. Given any efficient algorithm that can distinguish, with advantage $\epsilon$, the output of a random local function with $m$ outputs and $n$ inputs from random, our reduction produces an efficient algorithm that can invert such functions with $\tilde{O}(m(n/\epsilon)^2)$ outputs, succeeding with probability $\Omega(\epsilon)$. This implies that if a family of local functions is one-way, then a related family with shorter output length is family of pseudo-random generators. Prior to our work, all such reductions that were known required the predicate to have additional sensitivity properties, whereas our reduction works for any predicate. Our results also generalise to some super-constant values of the arity $d$, and to noisy predicates.

We propose Pool: a conceptually simple post-quantum (PQ) oblivious pseudorandom function (OPRF) protocol, that is round-optimal (with input-independent preprocessing), practically efficient, and has security based on the well-understood hardness of the learning with rounding (LWR) problem. Specifically, our design permits oblivious computation of the LWR-based pseudorandom function $F_{\mathsf{sk}}(x) = \lceil H(x)^{\top} \cdot \mathsf{sk} \rfloor_{q,p}$, for random oracle $H: \{0,1\}^* \mapsto \mathbb{Z}_q^n$ and uniformly chosen $\mathsf{sk} \in \{0,1\}^n$. For 128-bits of semi-honest security, the Pool OPRF has an online communication cost of 11.9~kB, and a computational runtime of less than 2~ms on a single thread (via an open-source software implementation). This is more efficient (in either online communication cost or runtime) than constructions from well-known PQ PRFs, and is competitive even with constructions that only conjecture PQ security on lesser-known assumptions. As a result, our design gives high-performance, post-quantum variants of established OPRF applications in multi-party computation and private set operation protocols.

A Private Simultaneous Messages (PSM) protocol is a secure multiparty computation protocol with a minimal interaction pattern, which allows input parties sharing common randomness to securely reveal the output of a function by sending messages only once to an external party. Since existing PSM protocols for arbitrary functions have exponentially large communication complexity in the number $n$ of parties, it is important to explore efficient protocols by focusing on special functions of practical use. In this paper, we study the communication efficiency of PSM protocols for symmetric functions, which provide many useful functionalities for real-world applications. We present a new $n$-party PSM protocol for symmetric functions with communication complexity $n^{2d/3+O(1)}$, where $d$ is the size of the input domain of each party. Our protocol improves the currently best known communication complexity of $n^{d+O(1)}$. As applications to other related models, we show that our novel protocol implies improved communication complexity of ad-hoc PSM, where only a subset of parties actually send messages, and also leads to a more communication-efficient robust PSM protocol, which is secure against collusion of the external party and input parties. The extension to ad-hoc PSM is not a straightforward application of the previous transformation but includes an optimization technique based on the symmetry of functions.

Proof-of-work (PoW)-based consensus mechanisms have long been criticized for their high resource (electricity, e-waste) consumption and reliance on hash puzzles, which have no utility beyond cryptocurrencies. Proof-of-Useful Work (PoUW) has emerged as an alternative whose mining objective is expected to provide societal utility. Despite numerous designs, PoUW lacks practical relevance and theoretical scrutiny. In this paper, we provide a systematization of knowledge (SoK) on PoUW, focusing on security-economic trade-offs. We build the taxonomy to discuss core principles (difficulty adjustment, verifiability, etc.), architecture, trade-offs, and economic incentives. We examine more than 50 PoUW constructions where we find recurring shortcomings. We introduce a formal economic model of PoUW for miner incentives, solution reusability, and external market value to the security budget. To validate our hypothesis, we employ a Toulmin-based evaluation of claims on the security and energy efficiency of these constructions. Our findings show that PoUW is actually not as useful as expected, since the economic and societal utility do not contribute to the security budget. Finally, we highlight design recommendations for PoUW that integrate verifiable computation, partial incentive allocation, and utility-aware difficulty adjustment.

In this work, we investigate whether the cost of two-party ECDSA signing can be brought within the realm of plain ECDSA signing. We answer the question in the affirmative for the case of communication complexity, by means of a new signing protocol. Our protocol consumes bandwidth linear in the security parameter, and hence the size of an ECDSA signature. Our scheme makes only blackbox use of generic tools---Oblivious Transfer during key generation, and any Pseudorandom Function when signing. While computation complexity is not asymptotically optimal, benchmarks of our protocol confirm that concrete costs are the lowest known for ECDSA signing. Our protocol is therefore the most concretely efficient in the literature on all fronts: bandwidth, computation, and rounds. On a technical level, our protocol is enabled by a novel Pseudorandom Correlation Function (PCF) for the Vector Oblivious Linear Evaluation correlation over a large ring. The PCF relies on one-way functions alone, and may be of independent interest. Our scheme supports standard extensions, such as pre-signing, and including backup servers for key shares in a $(2,n)$ configuration.

The hardness of finding isogenies of degree $d$ between supersingular elliptic curves is a fundamental assumption in isogeny-based cryptography. Let $E_1$ and $E_2$ be supersingular elliptic curves defined over $\mathbb{F}_{p^2}$, and let $d$ be a smooth integer. %removed > p^{1/2} part. At CRYPTO~2024, Benčina et al.\ proposed an algorithm with time complexity $\widetilde{O}(\max\{p^{1/2}, d/p^{5/8}\})$ in the classical setting and $\widetilde{O}(\max\{p^{1/4}, d^{1/2}/p^{1/4}\})$ in the quantum setting. In this work, we first observe that their analysis omits a sub-exponential factor $\exp(O(\log^{3/4} p))$. We then improve their result to $\widetilde{O}(\max\{p^{1/2}, \exp(O(\log^{4/5} p)) \cdot d/p^{2/3}\})$ classically and $\widetilde{O}(\max\{p^{1/4}, \exp(O(\log^{4/5} p)) \cdot d^{1/2}/p^{1/3}\})$ quantumly. Our approach relies on small-root bounds for Coppersmith’s method applied to a four-variable integer equation. To this end, we adapt the explicit asymptotic formulas for small-root bounds introduced by Feng et al.\ (CRYPTO~2025) in the modular setting to the integer setting. As an additional application, we strengthen the attack of Benčina et al.\ on the SIDH signature scheme by Basso et al. (ACNS~2024). We expect that these refined techniques for Coppersmith’s method will be valuable for further post-quantum cryptanalysis.

We present a simple range-proof mechanism for Pedersen commitments that avoids per- transaction heavy ZK verification and pairings. The idea is to commit once to a Merkleized range table of points {(U, aX·G)}X∈{1,...,2n} for a secret a ∈ Zq and a public anchor U = a·B. At transaction time, a prover shows set membership of the leaf (U, ax · G), proves via a Chaum–Pedersen DLEQ that logB U = logC C′ where C′ = a · C and C is the Pedersen commitment, and finally proves (Schnorr) that C′ − (ax·G) lies in the H-direction. These three checks enforce x to be the in-range value indexed by the Merkle leaf while preserving privacy. Verification costs a single Merkle proof plus a DLEQ and a Schnorr discrete-log proof over an elliptic curve group.

Garbled circuits with one-bit-per-gate communication were recently introduced by Liu et al. (BitGC, Eurocrypt 2025), Meyer et al. (Crypto 2025), and Ishai et al. (Crypto 2025). However, these works focus primarily on the theoretical communication complexity, leaving open questions about practical computational efficiency. In this paper, we present a set of optimizations that substantially improve its practical efficiency. First, we eliminate key barriers to enable SIMD support for BitGC, leading to a substantial speedup in its homomorphic operations. Second, we demonstrate that XOR gates can be garbled without any communication, improving both efficiency and simplicity. Finally, we present a computationally efficient garbling scheme that requires zero communication for XOR gates and only 5 bits per AND gate. When applied to an AES-128 circuit, our fastest garbling scheme generates a garbled circuit of just 4 KB in 2 minutes on a single CPU core.