Epsilon*: Privacy Metric for Machine Learning Models

Abstract:We introduce Epsilon*, a new privacy metric for measuring the privacy risk of a single instance prior to, during, or after of privacy strategies. The metric requires only black- to model predictions, does not require training re-sampling or model re-training, can be used to measure the privacy risk of models not trained with differential

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