AnUncertaintyPrincipleisaPriceof Privacy-PreservingMicrodata

Neural Information Processing Systems 

Privacy-protected microdata are often the desired output of a differentially private algorithm since microdata isfamiliar and convenient for downstream users. However, there is a statistical price for this kind of convenience.

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