Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference

27 Jun 2019Klas LeinoMatt Fredrikson

Membership inference (MI) attacks exploit the fact that machine learning algorithms sometimes leak information about their training data through the learned model. In this work, we study membership inference in the white-box setting in order to exploit the internals of a model, which have not been effectively utilized by previous work... (read more)

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