Calibrating Noise to Variance in Adaptive Data Analysis

19 December 2017

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

15 / 15 papers shown

Title
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy Zhongzheng Xiong Xiaoyi Zhu Zengfeng Huang 20 0 0 01 Nov 2023
On Differential Privacy and Adaptive Data Analysis with Bounded Space Itai Dinur Uri Stemmer David P. Woodruff Samson Zhou 16 12 0 11 Feb 2023
Sequential algorithmic modification with test data reuse Jean Feng Gene Pennello N. Petrick B. Sahiner Romain Pirracchio Alexej Gossmann 19 4 0 21 Mar 2022
Estimating informativeness of samples with Smooth Unique Information Hrayr Harutyunyan Alessandro Achille Giovanni Paolini Orchid Majumder Avinash Ravichandran Rahul Bhotika Stefano Soatto 27 24 0 17 Jan 2021
On Avoiding the Union Bound When Answering Multiple Differentially Private Queries Badih Ghazi Ravi Kumar Pasin Manurangsi FedML 23 10 0 16 Dec 2020
A bounded-noise mechanism for differential privacy Y. Dagan Gil Kur 21 22 0 07 Dec 2020
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data Di Wang Hanshen Xiao S. Devadas Jinhui Xu 20 55 0 21 Oct 2020
Reasoning About Generalization via Conditional Mutual Information Thomas Steinke Lydia Zakynthinou 23 159 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 113 147 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 21 47 0 09 Sep 2019
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation Mark Bun Thomas Steinke 44 74 0 06 Jun 2019
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 31 121 0 04 Jun 2019
Design of Communication Systems using Deep Learning: A Variational Inference Perspective Vishnu Raj Sheetal Kalyani 32 22 0 18 Apr 2019
Lower Bounds for Locally Private Estimation via Communication Complexity John C. Duchi Ryan M. Rogers 13 93 0 01 Feb 2019
Lower Bounds for Parallel and Randomized Convex Optimization Jelena Diakonikolas Cristóbal Guzmán 33 44 0 05 Nov 2018