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"A General Framework for Auditing Differentially Private Machine Learning."

Fred Lu et al. (2022)

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DOI: 10.48550/ARXIV.2210.08643

access: open

type: Informal or Other Publication

metadata version: 2022-10-19

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  - journals/corr/abs-2210-08643
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  - https://dblp.org/rec/journals/corr/abs-2210-08643
Fred Lu, Joseph Munoz, Maya Fuchs, Tyler LeBlond, Elliott Zaresky-Williams, Edward Raff, Francis Ferraro, Brian Testa:
A General Framework for Auditing Differentially Private Machine Learning. CoRR abs/2210.08643 (2022)

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