Near-Optimal Algorithms for Differentially-Private Principal Components

12 July 2012

Papers citing "Near-Optimal Algorithms for Differentially-Private Principal Components"

13 / 13 papers shown

Title
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation Carlos Soto M. Reimherr Aleksandra B. Slavkovic Mark Shriver CVBM 42 1 0 10 Sep 2024
Convergence Rates for Differentially Private Statistical Estimation Kamalika Chaudhuri Daniel J. Hsu FedML 50 50 0 27 Jun 2012
Differential Privacy for Functions and Functional Data Rob Hall Alessandro Rinaldo Larry A. Wasserman 55 180 0 12 Mar 2012
A Learning Theory Approach to Non-Interactive Database Privacy Avrim Blum Katrina Ligett Aaron Roth 68 550 0 10 Sep 2011
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 93 1,482 0 01 Dec 2009
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning Benjamin I. P. Rubinstein Peter L. Bartlett Ling Huang N. Taft 83 293 0 30 Nov 2009
On the Geometry of Differential Privacy Moritz Hardt Kunal Talwar 102 462 0 21 Jul 2009
Differential Privacy with Compression Shuheng Zhou Katrina Ligett Larry A. Wasserman 110 65 0 10 Jan 2009
A statistical framework for differential privacy Larry A. Wasserman Shuheng Zhou 89 482 0 16 Nov 2008
On the `Semantics' of Differential Privacy: A Bayesian Formulation S. Kasiviswanathan Adam D. Smith 75 166 0 27 Mar 2008
What Can We Learn Privately? S. Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam D. Smith 99 1,459 0 06 Mar 2008
Composition Attacks and Auxiliary Information in Data Privacy S. R. Ganta S. Kasiviswanathan Adam D. Smith 115 422 0 01 Mar 2008
Simulation of the matrix Bingham-von Mises-Fisher distribution, with applications to multivariate and relational data P. Hoff 94 207 0 27 Dec 2007