Zero-Knowledge Proofs on Secret-Shared Data via Fully Linear PCPs

Dan Boneh, Elette Boyle, Henry Corrigan-Gibbs, Niv Gilboa, and Yuval Ishai

To appear in: Annual International Cryptology Conference (CRYPTO)
August 18-22, 2019

Materials
Abstract

We introduce and study the notion of fully linear probabilistically checkable proof systems. In such a proof system, the verifier can make a small number of linear queries that apply jointly to the input and a proof vector. In contrast to traditional (zero-knowledge) proofs systems, fully linear proofs are meaningful even if P=PSPACE and even for very simple languages. Their non-triviality and usefulness stem from the fact that the input is not directly available to the verifier and can only be accessed via linear queries.

Our new type of proof system is motivated by applications in which the input statement is not fully available to any single verifier, but can still be efficiently accessed via linear queries. This situation arises in scenarios where the input is partitioned or secret-shared between two or more parties, or alternatively is encoded using an additively homomorphic encryption or commitment scheme. This setting appears in the context of secure messaging platforms, verifiable outsourced computation, PIR writing, private computation of aggregate statistics, and secure multiparty computation (MPC). In all these applications, there is a need for fully linear proof systems with short proofs.

While several efficient constructions of fully linear proof systems are implicit in the interactive proofs literature, many questions about their complexity are open. We present several new constructions of fully linear zero-knowledge proof systems with sublinear proof size for "simple" or "structured" languages. For example, in the non-interactive setting of fully linear PCPs, we show how to prove that an input vector \(x\in\mathbb{F}^n\), for a finite field \(\mathbb{F}\), satisfies a single degree-two equation with a proof of size \(O(\sqrt n)\) and \(O(\sqrt n)\) linear queries, which we show to be optimal. More generally, for languages that can be recognized by systems of constant-degree equations, we can reduce the proof size to \(O(\log n)\) at the cost of \(O(\log n)\) rounds of interaction.

We use our new proof systems to construct new short zero-knowledge proofs on distributed and secret-shared data. These proofs can be used to improve the performance of the example systems mentioned above.

Finally, we observe that zero-knowledge proofs on distributed data provide a general-purpose tool for protecting MPC protocols against malicious parties. Applying our short fully linear PCPs to "natural" MPC protocols in the honest-majority setting, we can achieve unconditional protection against malicious parties with sublinear additive communication cost. We use this to improve the communication complexity of recent honest-majority MPC protocols. For instance, using any pseudorandom generator, we obtain a three-party protocol for Boolean circuits in which the amortized communication cost is only one bit per AND gate per party (compared to ten bits in the best previous protocol), matching the best known protocols for semi-honest parties.