Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle

23 February 2015

Papers citing "Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle"

16 / 16 papers shown

Title
Stability and L2-penalty in Model Averaging Hengkun Zhu Guohua Zou MoMe 9 1 0 23 Nov 2023
Samplable Anonymous Aggregation for Private Federated Data Analysis Kunal Talwar Shan Wang Audra McMillan Vojta Jina Vitaly Feldman ... Congzheng Song Karl Tarbe Sebastian Vogt L. Winstrom Shundong Zhou FedML 35 13 0 27 Jul 2023
On the Privacy Properties of GAN-generated Samples Zinan Lin Vyas Sekar Giulia Fanti PICV 19 26 0 03 Jun 2022
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms Armando Angrisani Mina Doosti E. Kashefi 16 12 0 07 Mar 2022
Sharper bounds for uniformly stable algorithms Olivier Bousquet Yegor Klochkov Nikita Zhivotovskiy 16 120 0 17 Oct 2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection Bingzhe Wu Shiwan Zhao Chaochao Chen Haoyang Xu Li Wang Xiaolu Zhang Guangyu Sun Jun Zhou 25 45 0 21 Aug 2019
A New Approach to Adaptive Data Analysis and Learning via Maximal Leakage A. Esposito Michael C. Gastpar Ibrahim Issa 11 7 0 05 Mar 2019
Stable and Fair Classification Lingxiao Huang Nisheeth K. Vishnoi FaML 19 71 0 21 Feb 2019
Subsampled Rényi Differential Privacy and Analytical Moments Accountant Yu-Xiang Wang Borja Balle S. Kasiviswanathan 14 397 0 31 Jul 2018
Private PAC learning implies finite Littlestone dimension N. Alon Roi Livni M. Malliaris Shay Moran 13 109 0 04 Jun 2018
Learning Anonymized Representations with Adversarial Neural Networks Clément Feutry Pablo Piantanida Yoshua Bengio Pierre Duhamel 19 59 0 26 Feb 2018
On Connecting Stochastic Gradient MCMC and Differential Privacy Bai Li Changyou Chen Hao Liu Lawrence Carin 38 38 0 25 Dec 2017
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting Samuel Yeom Irene Giacomelli Matt Fredrikson S. Jha MIACV 18 39 0 05 Sep 2017
Generalization in Adaptive Data Analysis and Holdout Reuse Cynthia Dwork Vitaly Feldman Moritz Hardt T. Pitassi Omer Reingold Aaron Roth 16 228 0 08 Jun 2015
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo Yu-Xiang Wang S. Fienberg Alex Smola 27 248 0 26 Feb 2015
Preserving Statistical Validity in Adaptive Data Analysis Cynthia Dwork Vitaly Feldman Moritz Hardt T. Pitassi Omer Reingold Aaron Roth 23 375 0 10 Nov 2014