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"Tight Auditing of Differentially Private Machine Learning."

Milad Nasr et al. (2023)

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DOI: 10.48550/ARXIV.2302.07956

access: open

type: Informal or Other Publication

metadata version: 2023-02-20

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  - journals/corr/abs-2302-07956
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  - https://dblp.org/rec/journals/corr/abs-2302-07956
Milad Nasr, Jamie Hayes, Thomas Steinke, Borja Balle, Florian Tramèr, Matthew Jagielski, Nicholas Carlini, Andreas Terzis:
Tight Auditing of Differentially Private Machine Learning. CoRR abs/2302.07956 (2023)

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