Some additional insights on applying differential privacy for numeric data

Authors:
Rathindra Sarathy;Krish Muralidhar
Affiliations:
Oklahoma State University, Stillwater, OK;University of Kentucky, Lexington, KY
Venue:
PSD'10 Proceedings of the 2010 international conference on Privacy in statistical databases
Year:
2010

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Abstract

Recently Sarathy and Muralidhar (2009) provided the first attempt at illustrating the implementation of differential privacy for numerical data. In this paper, we attempt to provide further insights on the results that are observed when Laplace based noise addition is used to protect numerical data in order to satisfy differential privacy. Our results raise serious concerns regarding the viability of differential privacy and Laplace noise addition as appropriate procedures for protecting numerical data.