International Association for Cryptologic Research

International Association
for Cryptologic Research

CryptoDB

Noga Ron-Zewi

Publications and invited talks

Year
Venue
Title
2025
TCC
Linear Prover IOPs in Log Star Rounds
Interactive Oracle Proofs (IOPs) form the backbone of some of the most efficient general-purpose cryptographic proof-systems. In an IOP, the prover can interact with the verifier over multiple rounds, where in each round the prover sends a long message, from which the verifier only queries a few symbols. State-of-the-art IOPs achieve a linear-size prover and a poly-logarithmic time verifier but require a relatively large, logarithmic, number of rounds. While the Fiat-Shamir heuristic can be used to eliminate the need for actual interaction, in modern highly-parallelizable computer architectures such as GPUs, the large number of rounds still translates into a major bottleneck for the prover, since it needs to alternate between computing the IOP messages and the Fiat-Shamir hashes. Motivated by this fact, in this work we study the round complexity of linear-prover IOPs. Our main result is an IOP for a large class of Boolean circuits, with only $O(\log^*(S))$ rounds, where $\log^*$ denotes the iterated logarithm function (and $S$ is the circuit size). The prover has linear size $O(S)$ and the verifier runs in time $\polylog(S)$ and has query complexity $O(\log^*(S))$. The protocol is both conceptually simpler, and strictly more efficient, than prior linear prover IOPs for Boolean circuits.
2024
CRYPTO
Zero-knowledge IOPs Approaching Witness Length
Noga Ron-Zewi Mor Weiss
Interactive Oracle Proofs (IOPs) allow a probabilistic verifier interacting with a prover to verify the validity of an NP statement while reading only few bits from the prover messages. IOPs generalize standard Probabilistically-Checkable Proofs (PCPs) to the interactive setting, and in the few years since their introduction have already exhibited major improvements in main parameters of interest (such as the proof length and prover and verifier running times), which in turn led to significant improvements in constructions of succinct arguments. {\em Zero-Knowledge} (ZK) IOPs additionally guarantee that the view of any query-bounded (possibly malicious) verifier can be efficiently simulated. ZK-IOPs are the main building block of succinct {\em ZK} arguments which use the underlying cryptographic object (e.g., a collision-resistant hash function) {\em as a black box}. In this work, we construct the first {\em ZK-IOPs approaching the witness length} for a natural NP problem. More specifically, we design constant-query and constant-round IOPs for 3SAT in which the total communication is $(1+\gamma)m$, where $m$ is the number of variables and $\gamma>0$ is an arbitrarily small constant, and ZK holds against verifiers querying $m^\beta$ bits from the prover's messages, for a constant $\beta>0$. This gives a ZK variant of a recent result of Ron-Zewi and Rothblum (FOCS `20), who construct (non-ZK) IOPs approaching the witness length for a large class of NP languages. Previous constructions of {\em ZK}-IOPs incurred an (unspecified) large constant multiplicative overhead in the proof length, even when restricting to ZK against the {\em honest} verifier. We obtain our ZK-IOPs by improving the two main building blocks underlying most ZK-IOP constructions, namely ZK codes and ZK-IOPs for sumcheck. More specifically, we give the first ZK-IOPs for sumcheck that achieve both {\em sublinear} communication for sumchecking a {\em general} tensor code, and a ZK guarantee. We also show a strong ZK preservation property for tensors of ZK codes, which extends a recent result of Bootle, Chiesa, and Liu (EC `22). Given the central role of these objects in designing ZK-IOPs, these results might be of independent interest.
2016
PKC