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Private Identity Testing for High-Dimensional Distributions

The Discrete Gaussian for Differential Privacy

Locally Private Hypothesis Selection

Private Mean Estimation of Heavy-Tailed Distributions

Privately Learning Markov Random Fields

Differentially Private Algorithms for Learning Mixtures of Separated Gaussians

Private Hypothesis Selection

Privately Learning High-Dimensional Distributions

Sever: A Robust Meta-Algorithm for Stochastic Optimization

The Structure of Optimal Private Tests for Simple Hypotheses