A New Analysis of Differential Privacy's Generalization Guarantees

9 September 2019

Papers citing "A New Analysis of Differential Privacy's Generalization Guarantees"

11 / 11 papers shown

Title
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees A. Banerjee Qiaobo Li Yingxue Zhou 44 0 0 11 Jun 2024
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy Zhongzheng Xiong Xiaoyi Zhu Zengfeng Huang 15 0 0 01 Nov 2023
Stability is Stable: Connections between Replicability, Privacy, and Adaptive Generalization Mark Bun Marco Gaboardi Max Hopkins R. Impagliazzo Rex Lei T. Pitassi Satchit Sivakumar Jessica Sorrell 28 29 0 22 Mar 2023
On Differential Privacy and Adaptive Data Analysis with Bounded Space Itai Dinur Uri Stemmer David P. Woodruff Samson Zhou 13 12 0 11 Feb 2023
Valid Inference after Causal Discovery Paula Gradu Tijana Zrnic Yixin Wang Michael I. Jordan CML 26 8 0 11 Aug 2022
Improved Generalization Guarantees in Restricted Data Models Elbert Du Cynthia Dwork 17 1 0 20 Jul 2022
Low-Degree Multicalibration Parikshit Gopalan Michael P. Kim M. Singhal Shengjia Zhao FaML UQCV 22 37 0 02 Mar 2022
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization Paul Mangold A. Bellet Joseph Salmon Marc Tommasi 22 14 0 22 Oct 2021
A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators Idan Attias E. Cohen M. Shechner Uri Stemmer 24 29 0 30 Jul 2021
A bounded-noise mechanism for differential privacy Y. Dagan Gil Kur 14 22 0 07 Dec 2020
Reasoning About Generalization via Conditional Mutual Information Thomas Steinke Lydia Zakynthinou 13 159 0 24 Jan 2020