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arXiv · 1505.07254

Differentially Private Response Mechanisms on Categorical Data

Naoise Holohan·Doug Leith·Oliver Mason
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Abstract

We study mechanisms for differential privacy on finite datasets. By deriving \emph{sufficient sets} for differential privacy we obtain necessary and sufficient conditions for differential privacy, a tight lower bound on the maximal expected error of a discrete mechanism and a characterisation of the optimal mechanism which minimises the maximal expected error within the class of mechanisms considered.

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Naoise Holohan, Doug Leith, Oliver Mason. 2015-05-27. Differentially Private Response Mechanisms on Categorical Data. https://arxiv.org/abs/1505.07254

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