937 citations · 3.8k across the 80 of their papers we have counts for
3 papers · 2 filters
Element Level Differential Privacy: The Right Granularity of Privacy
Hilal Asi, John Duchi, Omid Javidbakht
Differential Privacy (DP) provides strong guarantees on the risk of compromising a user's data in statistical learning applications, though these strong protections make learning c…
Adversarial Training Can Hurt Generalization
Aditi Raghunathan, Sang Michael Xie, Fanny Yang +2
While adversarial training can improve robust accuracy (against an adversary), it sometimes hurts standard accuracy (when there is no adversary). Previous work has studied this tra…
A Rank-1 Sketch for Matrix Multiplicative Weights
Yair Carmon, John C. Duchi, Aaron Sidford +1
We show that a simple randomized sketch of the matrix multiplicative weight (MMW) update enjoys (in expectation) the same regret bounds as MMW, up to a small constant factor. Unlik…