Show simple item record

dc.contributor.authorLombardi, Alex
dc.contributor.authorVaikuntanathan, Vinod
dc.date.accessioned2021-11-03T14:38:06Z
dc.date.available2021-11-03T14:38:06Z
dc.date.issued2020
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttps://hdl.handle.net/1721.1/137201
dc.description.abstract© International Association for Cryptologic Research 2020. The Fiat-Shamir transform is a methodology for compiling a (public-coin) interactive proof system for a language L into a non-interactive argument system for L. Proving security of the Fiat-Shamir transform in the standard model, especially in the context of succinct arguments, is largely an unsolved problem. The work of Canetti et al. (STOC 2019) proved the security of the Fiat-Shamir transform applied to the Goldwasser-Kalai-Rothblum (STOC 2008) succinct interactive proof system under a very strong “optimal learning with errors” assumption. Achieving a similar result under standard assumptions remains an important open question. In this work, we consider the problem of compiling a different succinct interactive proof system: Pietrzak’s proof system (ITCS 2019) for the iterated squaring problem. We construct a hash function family (with evaluation time roughly (Formula Presented)) that guarantees the soundness of Fiat-Shamir for this protocol assuming the sub-exponential (Formula Presented)-hardness of the n-dimensional learning with errors problem. (The latter follows from the worst-case (Formula Presented) hardness of lattice problems.) More generally, we extend the “bad-challenge function” methodology of Canetti et al. for proving the soundness of Fiat-Shamir to a class of protocols whose bad-challenge functions are not efficiently computable. As a corollary (following Choudhuri et al., ePrint 2019 and Ephraim et al., EUROCRYPT 2020), we construct hard-on-average problems in the complexity class (Formula Presented) under the (Formula Presented)-hardness of the repeated squaring problem and the (Formula Presented)-hardness of the learning with errors problem. Under the additional assumption that the repeated squaring problem is “inherently sequential”, we also obtain a Verifiable Delay Function (Boneh et al., EUROCRYPT 2018) in the standard model. Finally, we give additional PPAD-hardness and VDF instantiations demonstrating a broader tradeoff between the strength of the repeated squaring assumption and the strength of the lattice assumption.en_US
dc.language.isoen
dc.publisherSpringer International Publishingen_US
dc.relation.isversionof10.1007/978-3-030-56877-1_22en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceOther repositoryen_US
dc.titleFiat-Shamir for Repeated Squaring with Applications to PPAD-Hardness and VDFsen_US
dc.typeBooken_US
dc.identifier.citationLombardi, Alex and Vaikuntanathan, Vinod. 2020. "Fiat-Shamir for Repeated Squaring with Applications to PPAD-Hardness and VDFs." Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12172 LNCS.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2021-04-08T14:38:16Z
dspace.orderedauthorsLombardi, A; Vaikuntanathan, Ven_US
dspace.date.submission2021-04-08T14:38:17Z
mit.journal.volume12172 LNCSen_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record