84 citations · 105 across the 5 of their papers we have counts for
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cs.LG2019★ 11 cited
Efficient Privacy-Preserving Stochastic Nonconvex Optimization
Lingxiao Wang, Bargav Jayaraman, David Evans +1
While many solutions for privacy-preserving convex empirical risk minimization (ERM) have been developed, privacy-preserving nonconvex ERM remains a challenge. We study nonconvex E…
cs.LG2019★ 84 cited
Evaluating Differentially Private Machine Learning in Practice
Bargav Jayaraman, David Evans
Differential privacy is a strong notion for privacy that can be used to prove formal guarantees, in terms of a privacy budget, , about how much information is leaked by a mechan…