Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform

4 Sep 2019Mathias LecuyerRiley SpahnKiran VodrahalliRoxana GeambasuDaniel Hsu

Companies increasingly expose machine learning (ML) models trained over sensitive user data to untrusted domains, such as end-user devices and wide-access model stores. We present Sage, a differentially private (DP) ML platform that bounds the cumulative leakage of training data through models... (read more)

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