157 citations · 741 across the 64 of their papers we have counts for
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cs.LG2014★ 31 cited
Private Empirical Risk Minimization Beyond the Worst Case: The Effect of the Constraint Set Geometry
Kunal Talwar, Abhradeep Thakurta, Li Zhang
Empirical Risk Minimization (ERM) is a standard technique in machine learning, where a model is selected by minimizing a loss function over constraint set. When the training datase…
cs.LG2014★ 59 cited
Differentially Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds
Raef Bassily, Adam Smith, Abhradeep Thakurta
In this paper, we initiate a systematic investigation of differentially private algorithms for convex empirical risk minimization. Various instantiations of this problem have been…