Towards privacy for social networks: A zero-knowledge based definition of privacy

Johannes Gehrke, Edward Lui, Rafael Pass

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

Abstract

We put forward a zero-knowledge based definition of privacy. Our notion is strictly stronger than the notion of differential privacy and is particularly attractive when modeling privacy in social networks. We furthermore demonstrate that it can be meaningfully achieved for tasks such as computing averages, fractions, histograms, and a variety of graph parameters and properties, such as average degree and distance to connectivity. Our results are obtained by establishing a connection between zero-knowledge privacy and sample complexity, and by leveraging recent sublinear time algorithms.

Original languageEnglish
Title of host publicationTheory of Cryptography - 8th Theory of Cryptography Conference, TCC 2011, Proceedings
Pages432-449
Number of pages18
DOIs
StatePublished - 2011
Externally publishedYes
Event8th Theory of Cryptography Conference, TCC 2011 - Providence, United States
Duration: 28 Mar 201130 Mar 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6597 LNCS

Conference

Conference8th Theory of Cryptography Conference, TCC 2011
Country/TerritoryUnited States
CityProvidence
Period28/03/1130/03/11

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Towards privacy for social networks: A zero-knowledge based definition of privacy'. Together they form a unique fingerprint.

Cite this