Model-Agnostic Private Learning via Stability

14 Mar 2018 Raef Bassily Om Thakkar Abhradeep Thakurta

We design differentially private learning algorithms that are agnostic to the learning model. Our algorithms are interactive in nature, i.e., instead of outputting a model based on the training data, they provide predictions for a set of $m$ feature vectors that arrive online... (read more)

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