A rigorous and customizable framework for privacy

Daniel Kifer, Ashwin Machanavajjhala

Research output: Chapter in Book/Report/Conference proceedingConference contribution

59 Scopus citations

Abstract

In this paper we introduce a new and general privacy framework called Pufferfish. The Pufferfish framework can be used to create new privacy definitions that are customized to the needs of a given application. The goal of Pufferfish is to allow experts in an application domain, who frequently do not have expertise in privacy, to develop rigorous privacy definitions for their data sharing needs. In addition to this, the Pufferfish framework can also be used to study existing privacy definitions. We illustrate the benefits with several applications of this privacy framework: we use it to formalize and prove the statement that differential privacy assumes independence between records, we use it to define and study the notion of composition in a broader context than before, we show how to apply it to protect unbounded continuous attributes and aggregate information, and we show how to use it to rigorously account for prior data releases.

Original languageEnglish (US)
Title of host publicationPODS '12 - Proceedings of the 31st Symposium on Principles of Database Systems
Pages77-88
Number of pages12
DOIs
StatePublished - Jun 26 2012
Event31st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, PODS '12 - Scottsdale, AZ, United States
Duration: May 21 2012May 23 2012

Publication series

NameProceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems

Other

Other31st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, PODS '12
CountryUnited States
CityScottsdale, AZ
Period5/21/125/23/12

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Hardware and Architecture

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    Kifer, D., & Machanavajjhala, A. (2012). A rigorous and customizable framework for privacy. In PODS '12 - Proceedings of the 31st Symposium on Principles of Database Systems (pp. 77-88). (Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems). https://doi.org/10.1145/2213556.2213571