The Large Margin Mechanism for Differentially Private Maximization

7 September 2014

Papers citing "The Large Margin Mechanism for Differentially Private Maximization"

13 / 13 papers shown

Title
Private Selection with Heterogeneous Sensitivities Daniela Antonova Allegra Laro Audra McMillan Lorenz Wolf 149 0 0 10 Jan 2025
The Price of Selection in Differential Privacy Mitali Bafna Jonathan R. Ullman 89 31 0 09 Feb 2017
Private Learning and Sanitization: Pure vs. Approximate Differential Privacy A. Beimel Kobbi Nissim Uri Stemmer 91 194 0 10 Jul 2014
Differentially Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds Raef Bassily Adam D. Smith Abhradeep Thakurta FedML 138 371 0 27 May 2014
Characterizing the Sample Complexity of Private Learners A. Beimel Kobbi Nissim Uri Stemmer 73 79 0 10 Feb 2014
Fingerprinting Codes and the Price of Approximate Differential Privacy Mark Bun Jonathan R. Ullman Salil P. Vadhan FedML 71 212 0 13 Nov 2013
Convergence Rates for Differentially Private Statistical Estimation Kamalika Chaudhuri Daniel J. Hsu FedML 80 50 0 27 Jun 2012
Privacy-Preserving Data Sharing for Genome-Wide Association Studies Caroline Uhler Aleksandra B. Slavkovic S. Fienberg 76 151 0 03 May 2012
Lower bounds in differential privacy Anindya De 85 132 0 12 Jul 2011
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 137 1,487 0 01 Dec 2009
On the Geometry of Differential Privacy Moritz Hardt Kunal Talwar 113 464 0 21 Jul 2009
A statistical framework for differential privacy Larry A. Wasserman Shuheng Zhou 105 485 0 16 Nov 2008
What Can We Learn Privately? S. Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam D. Smith 137 1,466 0 06 Mar 2008