Responsible Data Releases

Authors:
Sanguthevar Rajasekaran;Ofer Harel;Michael Zuba;Greg Matthews;Robert Aseltine
Affiliations:
Department of CSE, University of Connecticut, Storrs,;Department of Statistics, University of Connecticut, Storrs,;Department of CSE, University of Connecticut, Storrs,;Department of Statistics, University of Connecticut, Storrs,;University of Connecticut Health Center, Farmington,
Venue:
ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects
Year:
2009

Citing 5
Cited 0

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Computer Algorithms

Computer Algorithms

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Abstract

Data releases to the public should ensure the privacy of individuals involved in the data. Several privacy mechanisms have been proposed in the literature. One such technique is that of data anonymization. For example, synthetic data sets are generated and released. In this paper we analyze the privacy aspects of synthetic data sets. In particular, we introduce a natural notion of privacy and employ it for synthetic data sets.