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The Secret Sharer: Evaluating And Testing Unintended Memorization In Neural Networks

PROCEEDINGS OF THE 28TH USENIX SECURITY SYMPOSIUM, pp.267-284, (2019)

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Abstract

This paper describes a testing methodology for quantitatively assessing the risk that rare or unique training-data sequences are unintentionally memorized by generative sequence models-a common type of machine-learning model. Because such models are sometimes trained on sensitive data (e.g., the text of users' private messages), this meth...More

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