Calibrating Noise to Variance in Adaptive Data Analysis

19 December 2017

Papers citing "Calibrating Noise to Variance in Adaptive Data Analysis"

9 / 9 papers shown

Title
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy Zhongzheng Xiong Xiaoyi Zhu Zengfeng Huang 15 0 0 01 Nov 2023
On Differential Privacy and Adaptive Data Analysis with Bounded Space Itai Dinur Uri Stemmer David P. Woodruff Samson Zhou 10 12 0 11 Feb 2023
Sequential algorithmic modification with test data reuse Jean Feng Gene Pennello N. Petrick B. Sahiner Romain Pirracchio Alexej Gossmann 14 4 0 21 Mar 2022
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data Di Wang Hanshen Xiao S. Devadas Jinhui Xu 11 55 0 21 Oct 2020
Reasoning About Generalization via Conditional Mutual Information Thomas Steinke Lydia Zakynthinou 13 159 0 24 Jan 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea Mahdi Haghifam Gintare Karolina Dziugaite Ashish Khisti Daniel M. Roy FedML 105 146 0 06 Nov 2019
A New Analysis of Differential Privacy's Generalization Guarantees Christopher Jung Katrina Ligett Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi Moshe Shenfeld FedML 16 47 0 09 Sep 2019
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation Mark Bun Thomas Steinke 34 74 0 06 Jun 2019
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 24 121 0 04 Jun 2019