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20162023
most citedOn Differentially Private Stochastic Convex Optimization with Heavy-tailed Data

11 citations · 21 across the 15 of their papers we have counts for

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2 papers · 1 filter

cs.LG2022

Differentially Private Deep Learning with ModelMix

Hanshen Xiao, Jun Wan, Srinivas Devadas

Training large neural networks with meaningful/usable differential privacy security guarantees is a demanding challenge. In this paper, we tackle this problem by revisiting the two…

cs.CR2022

PAC Privacy: Automatic Privacy Measurement and Control of Data Processing

Hanshen Xiao, Srinivas Devadas

We propose and study a new privacy definition, termed Probably Approximately Correct (PAC) Privacy. PAC Privacy characterizes the information-theoretic hardness to recover sensitiv…