On the behavioral implications of differential privacy

Gail Gilboa-Freedman
Gail Gilboa-Freedman

Theor. Comput. Sci., pp. 84-93, 2020.

Cited by: 0|Bibtex|Views1|DOI:https://doi.org/10.1016/j.tcs.2020.07.005
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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

Abstract Differential privacy is commonly used in the computer science literature as a mathematical definition of privacy for the purpose of quantifying and bounding privacy loss. It induces a preference order over the set of privacy-jeopardizing mechanisms which, in turn, adhere to some properties of this order. We show that a set of f...More

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