most citedDifferentially Private Post-Processing for Fair Regression

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cs.CR2024

Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition

Christian Janos Lebeda, Matthew Regehr, Gautam Kamath +1

We consider the problem of computing tight privacy guarantees for the composition of subsampled differentially private mechanisms. Recent algorithms can numerically compute the pri…