Locally Private Gaussian Estimation

Locally Private Gaussian Estimation

20 November 2018

Janardhan Kulkarni

Zhiwei Steven Wu

Papers citing "Locally Private Gaussian Estimation"

11 / 11 papers shown

Title
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity A. F. Pour Hassan Ashtiani S. Asoodeh 41 0 0 09 Dec 2023
Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach R. Friedberg Ryan M. Rogers 26 3 0 17 Aug 2022
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation Gavin Brown Marco Gaboardi Adam D. Smith Jonathan R. Ullman Lydia Zakynthinou FedML 28 48 0 24 Jun 2021
Unified lower bounds for interactive high-dimensional estimation under information constraints Jayadev Acharya C. Canonne Ziteng Sun Himanshu Tyagi 26 29 0 13 Oct 2020
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation Mark Bun Thomas Steinke 47 74 0 06 Jun 2019
Locally Differentially Private Data Collection and Analysis Teng Wang Jun Zhao Xinyu Yang Xuebin Ren 25 13 0 05 Jun 2019
Private Identity Testing for High-Dimensional Distributions C. Canonne Gautam Kamath Audra McMillan Jonathan R. Ullman Lydia Zakynthinou 35 36 0 28 May 2019
The Role of Interactivity in Local Differential Privacy Matthew Joseph Jieming Mao Seth Neel Aaron Roth 33 64 0 07 Apr 2019
Lower Bounds for Locally Private Estimation via Communication Complexity John C. Duchi Ryan M. Rogers 13 93 0 01 Feb 2019
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 69 148 0 01 May 2018
Prochlo: Strong Privacy for Analytics in the Crowd Andrea Bittau Ulfar Erlingsson Petros Maniatis Ilya Mironov A. Raghunathan David Lie Mitch Rudominer Ushasree Kode J. Tinnés B. Seefeld 91 278 0 02 Oct 2017