Numerical Composition of Differential Privacy
We give a fast algorithm to optimally compose privacy guarantees of differentially private (DP) algorithms to arbitrary accuracy. Our method is based on the notion of \emph{privacy loss random variables} to quantify the privacy loss of DP algorithms. The running time and memory needed for our algor...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Labor Dynamics Institute
2024-02-01
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| Series: | The Journal of Privacy and Confidentiality |
| Subjects: | |
| Online Access: | https://journalprivacyconfidentiality.org/index.php/jpc/article/view/870 |