Characterizes the optimal e-power for ε-DP e-value hypothesis testing between P^n and Q^n, supplies a matching algorithm, and gives matching bounds on stopping times for private e-processes.
Improved differentially private analysis of variance.Privacy Enhancing Technologies, 2019: 310–330, 07 2019
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Optimal Rates for Differentially Private Hypothesis Testing with E-values
Characterizes the optimal e-power for ε-DP e-value hypothesis testing between P^n and Q^n, supplies a matching algorithm, and gives matching bounds on stopping times for private e-processes.