Gavin Brown
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The paper characterizes the optimal achievable rate for differentially private hypothesis testing using e-values, providing an exact algorithm for both fixed and sequential settings.
The paper introduces novel, efficient differentially private algorithms for estimating monotone statistics, significantly improving sample complexity compared to existing methods.
Papers
Optimal Rates for Differentially Private Hypothesis Testing with E-values
Ben Jacobsen, Tomas Gonzalez, Gavin Brown, Kassem Fawaz +1 more
The paper characterizes the optimal achievable rate for differentially private hypothesis testing using e-values, providing an exact algorithm for both fixed and sequential settings.