Incrementally Verifiable Computation via Rate-1 Batch Arguments

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Abstract

Non-interactive delegation schemes enable producing succinct proofs (that can be efficiently verified) that a machine M transitions from c1 to c2 in a certain number of deterministic steps. We here consider the problem of efficiently merging such proofs: given a proof ?1 that M transitions from c1 to c2, and a proof ?2 that M transitions from c2 to c3, can these proofs be efficiently merged into a single short proof (of roughly the same size as the original proofs) that M transitions from c1 to c3? To date, the only known constructions of such a mergeable delegation scheme rely on strong non-falsifiable 'knowledge extraction' assumptions. In this work, we present a provably secure construction based on the standard LWE assumption. As an application of mergeable delegation, we obtain a construction of incrementally verifiable computation (IVC) (with polylogarithmic length proofs) for any (unbounded) polynomial number of steps based on LWE; as far as we know, this is the first such construction based on any falsifiable (as opposed to knowledge-extraction) assumption. The central building block that we rely on, and construct based on LWE, is a rate-l batch argument (BARG): this is a non-interactive argument for NP that enables proving k NP statements x1, ... , xk with communication/verifier complexity m + o(m), where m is the length of one witness. rate-1 BARGs are particularly useful as they can be recursively composed a super-constant number of times.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science, FOCS 2022
PublisherIEEE Computer Society
Pages1045-1056
Number of pages12
ISBN (Electronic)9781665455190
DOIs
StatePublished - 2022
Event63rd IEEE Annual Symposium on Foundations of Computer Science, FOCS 2022 - Denver, United States
Duration: 31 Oct 20223 Nov 2022

Publication series

NameProceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS
Volume2022-October
ISSN (Print)0272-5428

Conference

Conference63rd IEEE Annual Symposium on Foundations of Computer Science, FOCS 2022
Country/TerritoryUnited States
CityDenver
Period31/10/223/11/22

Funding

FundersFunder number
Blavatnik Foundation
National Science FoundationCNS-2128519, CNS-2149305, SATC-1704788, RI-1703846
Air Force Office of Scientific ResearchFA9550-18-1-0267
Defense Advanced Research Projects AgencyHR00110C0086
Israel Science Foundation1789/19
Tel Aviv University

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