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dc.contributor.authorBitansky, Nir
dc.contributor.authorDegwekar, Akshay
dc.contributor.authorVaikuntanathan, Vinod
dc.date.accessioned2021-11-08T20:11:45Z
dc.date.available2021-11-08T20:11:45Z
dc.date.issued2017
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttps://hdl.handle.net/1721.1/137810
dc.description.abstract© International Association for Cryptologic Research 2017. Much of modern cryptography, starting from public-key encryption and going beyond, is based on the hardness of structured (mostly algebraic) problems like factoring, discrete log or finding short lattice vectors. While structure is perhaps what enables advanced applications, it also puts the hardness of these problems in question. In particular, this structure often puts them in low complexity classes such as NP ∩ coNP or statistical zero-knowledge (SZK). Is this structure really necessary? For some cryptographic primitives, such as one-way permutations and homomorphic encryption, we know that the answer is yes—they imply hard problems in NP ∩ coNP and SZK, respectively. In contrast, one-way functions do not imply such hard problems, at least not by fully black-box reductions. Yet, for many basic primitives such as public-key encryption, oblivious transfer, and functional encryption, we do not have any answer. We show that the above primitives, and many others, do not imply hard problems in NP ∩ coNP or SZK via fully black-box reductions. In fact, we first show that even the very powerful notion of Indistinguishability Obfuscation (IO) does not imply such hard problems, and then deduce the same for a large class of primitives that can be constructed from IO.en_US
dc.language.isoen
dc.publisherSpringer Natureen_US
dc.relation.isversionof10.1007/978-3-319-63688-7_23en_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.titleStructure vs. Hardness Through the Obfuscation Lensen_US
dc.typeArticleen_US
dc.identifier.citationBitansky, Nir, Degwekar, Akshay and Vaikuntanathan, Vinod. 2017. "Structure vs. Hardness Through the Obfuscation Lens."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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.updated2019-07-09T16:31:01Z
dspace.date.submission2019-07-09T16:31:02Z
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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