Empirical Differential Privacy

10/28/2019

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We show how to achieve differential privacy with no or reduced added noise, based on the empirical noise in the data itself. Unlike previous works on noiseless privacy, the empirical viewpoint avoids making any explicit assumptions about the random process generating the data.

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Empirical Differential Privacy

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Empirical Differential Privacy

Related Research

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Local Graph-homomorphic Processing for Privatized Distributed Systems

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