Subsampled Rényi Differential Privacy and Analytical Moments Accountant
We study the problem of subsampling in differential privacy (DP), a question that is the centerpiece behind many successful differentially private machine learning algorithms. Specifically, we provide a tight upper bound on the Renyi Differential Privacy (RDP) [Mironov, 2017] parameters for algorit...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Labor Dynamics Institute
2020-06-01
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Series: | The Journal of Privacy and Confidentiality |
Subjects: | |
Online Access: | https://journalprivacyconfidentiality.org/index.php/jpc/article/view/723 |