17 citations · 37 across the 6 of their papers we have counts for
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cs.DS2019★ 9 cited
Private Identity Testing for High-Dimensional Distributions
Clément L. Canonne, Gautam Kamath, Audra McMillan +2
In this work we present novel differentially private identity (goodness-of-fit) testers for natural and widely studied classes of multivariate product distributions: Gaussians in $…
cs.LG2019★ 4 cited
Efficient Private Algorithms for Learning Large-Margin Halfspaces
Huy L. Nguyen, Jonathan Ullman, Lydia Zakynthinou
We present new differentially private algorithms for learning a large-margin halfspace. In contrast to previous algorithms, which are based on either differentially private simulat…