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Tight Auditing of Differentially Private Machine Learning

Milad Nasr, Jamie Hayes, Thomas Steinke 0002, Borja Balle, Florian Tramèr, Matthew Jagielski, Nicholas Carlini, Andreas Terzis. Tight Auditing of Differentially Private Machine Learning. In Joseph A. Calandrino, Carmela Troncoso, editors, 32nd USENIX Security Symposium, USENIX Security 2023, Anaheim, CA, USA, August 9-11, 2023. pages 1631-1648, USENIX Association, 2023. [doi]

Authors

Milad Nasr

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Jamie Hayes

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Thomas Steinke 0002

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Borja Balle

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Florian Tramèr

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Matthew Jagielski

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Nicholas Carlini

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Andreas Terzis

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