315 citations · 790 across the 31 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 15 cited
Limits of Private Learning with Access to Public Data
Noga Alon, Raef Bassily, Shay Moran
We consider learning problems where the training set consists of two types of examples: private and public. The goal is to design a learning algorithm that satisfies differential p…
cs.LG2019★ 78 cited
Private Stochastic Convex Optimization with Optimal Rates
Raef Bassily, Vitaly Feldman, Kunal Talwar +1
We study differentially private (DP) algorithms for stochastic convex optimization (SCO). In this problem the goal is to approximately minimize the population loss given i.i.d. sam…
cs.LG2019★ 9 cited
Privately Answering Classification Queries in the Agnostic PAC Model
Anupama Nandi, Raef Bassily
We revisit the problem of differentially private release of classification queries. In this problem, the goal is to design an algorithm that can accurately answer a sequence of cla…