Privacy and Statistical Risk: Formalisms and Minimax Bounds

15 December 2014

Papers citing "Privacy and Statistical Risk: Formalisms and Minimax Bounds"

7 / 7 papers shown

Title
Learning with Differentially Private (Sliced) Wasserstein Gradients David Rodríguez-Vítores Clément Lalanne Jean-Michel Loubes FedML 67 0 0 03 Feb 2025
Near-Optimal Algorithms for Differentially-Private Principal Components Kamalika Chaudhuri Anand D. Sarwate Kaushik Sinha 54 153 0 12 Jul 2012
A Learning Theory Approach to Non-Interactive Database Privacy Avrim Blum Katrina Ligett Aaron Roth 66 550 0 10 Sep 2011
Distributed Private Data Analysis: On Simultaneously Solving How and What A. Beimel Kobbi Nissim Eran Omri FedML 93 208 0 14 Mar 2011
On the Geometry of Differential Privacy Moritz Hardt Kunal Talwar 89 462 0 21 Jul 2009
A statistical framework for differential privacy Larry A. Wasserman Shuheng Zhou 86 482 0 16 Nov 2008
On the `Semantics' of Differential Privacy: A Bayesian Formulation S. Kasiviswanathan Adam D. Smith 75 166 0 27 Mar 2008