Cryptology ePrint Archive: Report 2020/278

MIRAGE: Succinct Arguments for Randomized Algorithms with Applications to Universal zk-SNARKs

Ahmed Kosba and Dimitrios Papadopoulos and Charalampos Papamanthou and Dawn Song

Abstract: The last few years have witnessed increasing interest in the deployment of zero-knowledge proof systems, in particular ones with succinct proofs and efficient verification (zk-SNARKs). One of the main challenges facing the wide deployment of zk-SNARKs is the requirement of a trusted key generation phase per different computation to achieve practical proving performance. Existing zero-knowledge proof systems that do not require trusted setup or have a single trusted preprocessing phase suffer from increased proof size and/or additional verification overhead. On the other other hand, although universal circuit generators for zk-SNARKs (that can eliminate the need for per-computation preprocessing) have been introduced in the literature, the performance of the prover remains far from practical for real-world applications.

In this paper, we first present a new zk-SNARK system that is well-suited for randomized algorithms---in particular it does not encode randomness generation within the arithmetic circuit allowing for more practical prover times. Then, we design a universal circuit that takes as input any arithmetic circuit of a bounded number of operations as well as a possible value assignment, and performs randomized checks to verify consistency. Our universal circuit is linear in the number of operations instead of quasi-linear like other universal circuits. By applying our new zk-SNARK system to our universal circuit, we build MIRAGE, a universal zk-SNARK with very succinct proofs---the proof contains just one additional element compared to the per-circuit preprocessing state-of-the-art zk-SNARK by Groth (Eurocrypt 2016). Finally, we implement MIRAGE and experimentally evaluate its performance for different circuits and in the context of privacy-preserving smart contracts.

Category / Keywords: cryptographic protocols / zero knowledge, zk-SNARKs

Date: received 2 Mar 2020, last revised 12 Mar 2020

Contact author: ahmed kosba at alexu edu eg,cpap@umd edu

Available format(s): PDF | BibTeX Citation

Version: 20200312:114936 (All versions of this report)

Short URL: ia.cr/2020/278


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