Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM

30 May 2017Katrina LigettSeth NeelAaron RothBo WaggonerZ. Steven Wu

Traditional approaches to differential privacy assume a fixed privacy requirement $\epsilon$ for a computation, and attempt to maximize the accuracy of the computation subject to the privacy constraint. As differential privacy is increasingly deployed in practical settings, it may often be that there is instead a fixed accuracy requirement for a given computation and the data analyst would like to maximize the privacy of the computation subject to the accuracy constraint... (read more)

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