The application of differential privacy to health data

Fida Kamal Dankar, Khaled El Emam

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

66 Citations (Scopus)

Abstract

Differential privacy has gained a lot of attention in recent years as a general model for the protection of personal information when used and disclosed for secondary purposes. It has also been proposed as an appropriate model for health data. In this paper we review the current literature on differential privacy and highlight important general limitations to the model and the proposed mechanisms. We then examine some practical challenges to the application of differential privacy to health data. The review concludes by identifying areas that researchers and practitioners in this area need to address to increase the adoption of differential privacy for health data.

Original languageEnglish
Title of host publicationProceedings - Joint EDBT/ICDT Workshops 2012
Pages158-166
Number of pages9
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventJoint EDBT/ICDT Workshops 2012 - Berlin, Germany
Duration: Mar 30 2012Mar 30 2012

Publication series

NameACM International Conference Proceeding Series

Conference

ConferenceJoint EDBT/ICDT Workshops 2012
Country/TerritoryGermany
CityBerlin
Period3/30/123/30/12

Keywords

  • Anonymity
  • De-identification
  • Differential privacy
  • Microdata
  • Randomization

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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