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ZK-PCPs from Leakage-Resilient Secret Sharing


Zero-Knowledge PCPs (ZK-PCPs; Kilian, Petrank, and Tardos, STOC ‘97) are PCPs with the additional zero-knowledge guarantee that the view of any (possibly malicious) verifier making a bounded number of queries to the proof can be efficiently simulated up to a small statistical distance. Similarly, ZK-PCPs of Proximity (ZK-PCPPs; Ishai and Weiss, TCC ‘14) are PCPPs in which the view of an adversarial verifier can be efficiently simulated with few queries to the input. Previous ZK-PCP constructions obtained an exponential gap between the query complexity q of the honest verifier, and the bound \(q^*\) on the queries of a malicious verifier (i.e., \(q={\mathsf {poly}}\log \left( q^*\right) \)), but required either exponential-time simulation, or adaptive honest verification. This should be contrasted with standard PCPs, that can be verified non-adaptively (i.e., with a single round of queries to the proof). The problem of constructing such ZK-PCPs, even when \(q^*=q\), has remained open since they were first introduced more than 2 decades ago. This question is also open for ZK-PCPPs, for which no construction with non-adaptive honest verification is known (not even with exponential-time simulation). We resolve this question by constructing the first ZK-PCPs and ZK-PCPPs which simultaneously achieve efficient zero-knowledge simulation and non-adaptive honest verification. Our schemes have a square-root query gap, namely \(q^*/q=O\left( \sqrt{n}\right) \), where n is the input length. Our constructions combine the “MPC-in-the-head” technique (Ishai et al., STOC ‘07) with leakage-resilient secret sharing. Specifically, we use the MPC-in-the-head technique to construct a ZK-PCP variant over a large alphabet, then employ leakage-resilient secret sharing to design a new alphabet reduction for ZK-PCPs which preserves zero-knowledge.

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  1. We stress that a larger gap is preferable to a smaller one, since it means the proof can be verified with few queries, while guaranteeing zero-knowledge even when a malicious verifier makes many more queries (compared to the honest verifier).

  2. In this context, we note that if one only requires ZK against the honest verifier, then non-adaptive ZK-PCPs and ZK-PCPPs are known. (This is implicit in [26, 28] for ZK-PCPs and ZK-PCPPs respectively, via standard soundness amplification.) Consequently, our non-adaptive ZK-PCPs and ZK-PCPPs (with ZK against malicious verifiers) do not improve the round complexity in applications that only require ZK against the honest-verifier (e.g., the ZK arguments of [24], and the commit-and-prove protocols of [26]).

  3. We note that several PCP constructions (e.g., [17]) use more elaborate alphabet reduction techniques for efficiency reasons (in particular, their goal is to achieve quasi-linear length proofs with \(O\left( 1\right) \) query complexity and a constant soundness error). A \(\log \left| {\Sigma }\right| \) blowup is less significant in the context of zero-knowledge PCPs, where the query complexity is anyway \(\omega \left( 1\right) \) since we wish to have a negligible soundness error.

  4. Due to some technical issues, the construction is actually somewhat more involved, see Sect. 5 for the construction and further details.

  5. In fact, \(\widehat{C}\) operates on encoded inputs, however to simplify the discussion we disregard this at this point, and provide a more accurate discussion in Sect. 2.2.2.

  6. Specifically, Decatur et al. [16] construct a linear code \(C\subseteq \{0,1\}^n\) with constant rate and probing-resilience against a constant fraction of leaked bits (as noted above, such codes are known as ZK codes). It was observed in [4, Lemma 2] that linear ZK codes are also equivocal.

  7. An example of such a protocol is the variant of the BGW protocol [8] presented in [13, Theorem 5.2].

  8. Namely, there are \({{t/2} \atopwithdelims ()k}\) ways of choosing k edges among the t/2 edges. Then, we choose either of the two vertices incident on the selected edges.

  9. In fact, as will be evident from the proof, it suffices that \(\left( {\mathcal {P}},{\mathcal {V}}\right) \) is ZK against non-adaptive malicious verifiers.

  10. We note that [31] do not consider strongly correct secret sharing schemes, but their Shamir-based scheme is strongly correct because Shamir’s scheme is strongly correct (see discussion in Sect. 3.3).

  11. We stress that \(\left( {\mathcal {P}},{\mathcal {V}}\right) \) is non-adaptive in the sense that the honest verifier is non-adaptive, but ZK holds against possibly adaptive verifiers.

  12. Notice that this step uses the fact that \(\left( {\mathcal {P}},{\mathcal {V}}\right) \) is ZK against possibly adaptive verifiers.

  13. In fact, as will be evident from the proof, it suffices that \(\left( {\mathcal {P}},{\mathcal {V}}\right) \) is ZK against non-adaptive malicious verifiers.

  14. We stress that \(\left( {\mathcal {P}},{\mathcal {V}}\right) \) is non-adaptive in the sense that the honest verifier is non-adaptive, but ZK holds against possibly adaptive verifiers.


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We thank the anonymous ITC‘21 reviewers for their helpful comments, in particular for pointing out the connection to RPEs and noting that the ZK code of [16, Theorem 2.2] is equivocal. The first and third authors are supported by the BIU Center for Research in Applied Cryptography and Cyber Security in conjunction with the Israel National Cyber Bureau in the Prime Minister’s Office. The first author is supported by ISF grant No. 1316/18. The first and second authors are supported by DARPA under Contract No. HR001120C0087. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the United States Government or DARPA.

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Correspondence to Mor Weiss.

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Communicated by Amit Sahai.

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Hazay, C., Venkitasubramaniam, M. & Weiss, M. ZK-PCPs from Leakage-Resilient Secret Sharing. J Cryptol 35, 23 (2022).

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  • Zero knowledge
  • Probabilistically checkable proofs
  • Leakage resilience
  • Secret sharing
  • Probabilistically checkable proofs of proximity
  • Secure multi-party computation