On the behavioral implications of differential privacy
Theor. Comput. Sci., pp. 84-93, 2020.
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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