Paper 2025/2307

Computationally Succinct Authentication from DCR: Attribute-Based Laconic Function Evaluation and More

Pierre Meyer, Aarhus University
Claudio Orlandi, Aarhus University
Lawrence Roy, Aarhus University
Peter Scholl, Aarhus University
Abstract

We present the first construction of attribute-based laconic function evaluation (AB-LFE) from the decisional composite residuosity (DCR) assumption. This yields the first example of computationally succinct secure computation from a group-based assumption, avoiding reliance on noisy lattice assumptions such as LWE. Our construction builds on recent work in fully homomorphic MACs and homomorphic secret sharing by Ishai, Li and Lin (FOCS 2025) and Meyer, Orlandi, Roy, and Scholl (Crypto 2025), which we extend by constructing a fully homomorphic MAC for packed vector operations, where the evaluation time of one party is independent of the vector length. As applications, we obtain full-fledged laconic function evaluation (LFE) from the combination of DCR and standard LWE, avoiding the need for sub-exponential modulus-to-noise ratio LWE used in previous work. We also obtain the first constrained pseudorandom function whose master evaluation key is succinct in the constraint. These results highlight the unexplored power of group-based cryptography for succinct secure computation.

Metadata
Available format(s)
PDF
Category
Foundations
Publication info
Preprint.
Keywords
homomorphic secret sharinglaconic function evaluationconstrained pseudorandom functions
Contact author(s)
pierre meyer @ cs au dk
orlandi @ cs au dk
ldr709 @ gmail com
peter scholl @ cs au dk
History
2025-12-29: approved
2025-12-22: received
See all versions
Short URL
https://ia.cr/2025/2307
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2025/2307,
      author = {Pierre Meyer and Claudio Orlandi and Lawrence Roy and Peter Scholl},
      title = {Computationally Succinct Authentication from {DCR}: Attribute-Based Laconic Function Evaluation and More},
      howpublished = {Cryptology {ePrint} Archive, Paper 2025/2307},
      year = {2025},
      url = {https://eprint.iacr.org/2025/2307}
}
Note: In order to protect the privacy of readers, eprint.iacr.org does not use cookies or embedded third party content.