Differential Privacy for Functions and Functional Data

12 March 2012

Papers citing "Differential Privacy for Functions and Functional Data"

10 / 10 papers shown

Title
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation Carlos Soto M. Reimherr Aleksandra B. Slavkovic Mark Shriver CVBM 44 1 0 10 Sep 2024
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 84 3 0 03 Sep 2024
Noise-Aware Differentially Private Regression via Meta-Learning Ossi Raisa Stratis Markou Matthew Ashman W. Bruinsma Marlon Tobaben Antti Honkela Richard Turner 109 1 0 12 Jun 2024
Convergence Rates for Differentially Private Statistical Estimation Kamalika Chaudhuri Daniel J. Hsu FedML 57 50 0 27 Jun 2012
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 105 462 0 21 Jul 2009
A statistical framework for differential privacy Larry A. Wasserman Shuheng Zhou 91 482 0 16 Nov 2008
Efficient, Differentially Private Point Estimators Adam D. Smith FedML 60 78 0 27 Sep 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