On syntactic anonymity and differential privacy

Chris Clifton, Tamir Tassa

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

66 Scopus citations

Abstract

Recently, there has been a growing debate over approaches for handling and analyzing private data. Research has identified issues with syntactic anonymity models. Differential privacy has been promoted as the answer to privacy-preserving data mining. We discuss here issues involved and criticisms of both approaches, and conclude that both have their place. We identify research directions that will enable greater access to data while improving privacy guarantees.

Original languageEnglish
Title of host publication2013 IEEE 29th International Conference on Data Engineering Workshops, ICDEW 2013
Pages88-93
Number of pages6
DOIs
StatePublished - 19 Aug 2013
Externally publishedYes
Event2013 IEEE 29th International Conference on Data Engineering Workshops, ICDEW 2013 - Brisbane, QLD, Australia
Duration: 8 Apr 201311 Apr 2013

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Conference

Conference2013 IEEE 29th International Conference on Data Engineering Workshops, ICDEW 2013
Country/TerritoryAustralia
CityBrisbane, QLD
Period8/04/1311/04/13

Fingerprint

Dive into the research topics of 'On syntactic anonymity and differential privacy'. Together they form a unique fingerprint.

Cite this