Distribution design

Amos Beimel, Ariel Gabizon, Yuval Ishai, Eyal Kushilevitz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Motivated by applications in cryptography, we introduce and study the problem of distribution design. The goal of distribution design is to find a joint distribution on n ran-dom variables that satisfies a given set of constraints on the marginal distributions. Each constraint can either require that two sequences of variables be identically distributed or, alternatively, that the two sequences have disjoint supports. We present several positive and negative results on the exis-Tence and efficiency of solutions for a given set of constraints. Distribution design can be seen as a strict generalization of several well-studied problems in cryptography. These in-clude secret sharing, garbling schemes, and non-interactive protocols for secure multiparty computation. We further motivate the problem and our results by demonstrating their usefulness towards realizing non-interactive protocols for ad-hoc secure multiparty computation, in which any subset of the parties may choose to participate and the identity of the participants should remain hidden to the extent possible.

Original languageEnglish
Title of host publicationITCS 2016 - Proceedings of the 2016 ACM Conference on Innovations in Theoretical Computer Science
PublisherAssociation for Computing Machinery, Inc
Pages81-92
Number of pages12
ISBN (Electronic)9781450340571
DOIs
StatePublished - 14 Jan 2016
Event7th ACM Conference on Innovations in Theoretical Computer Science, ITCS 2016 - Cambridge, United States
Duration: 14 Jan 201616 Jan 2016

Publication series

NameITCS 2016 - Proceedings of the 2016 ACM Conference on Innovations in Theoretical Computer Science

Conference

Conference7th ACM Conference on Innovations in Theoretical Computer Science, ITCS 2016
Country/TerritoryUnited States
CityCambridge
Period14/01/1616/01/16

Keywords

  • Garbling schemes
  • Multi-input functional encryption
  • Obfuscation
  • Secret sharing
  • Secure multiparty computation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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