A statistical framework for differential privacy

16 November 2008

Papers citing "A statistical framework for differential privacy"

8 / 8 papers shown

Title
Empirical Privacy Variance Yuzheng Hu Fan Wu Ruicheng Xian Yuhang Liu Lydia Zakynthinou Pritish Kamath Chiyuan Zhang David A. Forsyth 75 0 0 16 Mar 2025
Learning with Differentially Private (Sliced) Wasserstein Gradients David Rodríguez-Vítores Clément Lalanne Jean-Michel Loubes FedML 67 0 0 03 Feb 2025
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation Carlos Soto M. Reimherr Aleksandra B. Slavkovic Mark Shriver CVBM 36 1 0 10 Sep 2024
A Learning Theory Approach to Non-Interactive Database Privacy Avrim Blum Katrina Ligett Aaron Roth 55 550 0 10 Sep 2011
Efficient, Differentially Private Point Estimators Adam D. Smith FedML 54 78 0 27 Sep 2008
What Can We Learn Privately? S. Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam D. Smith 95 1,459 0 06 Mar 2008
Composition Attacks and Auxiliary Information in Data Privacy S. R. Ganta S. Kasiviswanathan Adam D. Smith 107 422 0 01 Mar 2008
Adaptive Confidence Sets for the Optimal Approximating Model Angelika Rohde L. Duembgen 74 2 0 22 Feb 2008