The Test of Tests: A Framework For Differentially Private Hypothesis Testing. (arXiv:2302.04260v1 [stat.ME])

We present a generic framework for creating differentially private versions
of any hypothesis test in a black-box way. We analyze the resulting tests
analytically and experimentally. Most crucially, we show good practical
performance for small data sets, showing that at epsilon = 1 we only need 5-6
times as much data as in the fully public setting. We compare our work to the
one existing framework of this type, as well as to several
individually-designed private hypothesis tests. Our framework …

box data data sets framework performance private public test testing tests work