Private Identity Testing for High-Dimensional Distributions

We construct two types of testers, exhibiting tradeoffs between sample complexity and computational complexity. Finally, we provide a two-way reduction between testing a subclass of multivariate product distributions and testing univariate distributions, thereby obtaining upper and lower bounds for testing this subclass of product distributions.