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Differentially Private Uniformly Most Powerful Tests for Binomial Data

Neural Information Processing Systems

Furthermore, we obtain exactp-values, which are easily computed in terms of the Tulap random variable. We show that our results also apply to distribution-free hypothesis testsforcontinuous data.


26e359e83860db1d11b6acca57d8ea88-Paper.pdf

Neural Information Processing Systems

Some recent results do consider residual-like elements (see discussion of related work below),butgenerallydonotapply tostandard architectures.