A Primer on Private Statistics

30 April 2020

Papers citing "A Primer on Private Statistics"

37 / 37 papers shown

Title
Differentially Private Assouad, Fano, and Le Cam Jayadev Acharya Ziteng Sun Huanyu Zhang FedML 55 58 0 14 Apr 2020
Privately Learning Markov Random Fields Huanyu Zhang Gautam Kamath Janardhan Kulkarni Zhiwei Steven Wu 58 25 0 21 Feb 2020
Private Mean Estimation of Heavy-Tailed Distributions Gautam Kamath Vikrant Singhal Jonathan R. Ullman 78 100 0 21 Feb 2020
Privately detecting changes in unknown distributions Rachel Cummings Sara Krehbiel Yuliia Lut Wanrong Zhang OOD 34 11 0 03 Oct 2019
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation Mark Bun Thomas Steinke 66 75 0 06 Jun 2019
Private Hypothesis Selection Mark Bun Gautam Kamath Thomas Steinke Zhiwei Steven Wu 48 91 0 30 May 2019
Private Identity Testing for High-Dimensional Distributions C. Canonne Gautam Kamath Audra McMillan Jonathan R. Ullman Lydia Zakynthinou 65 38 0 28 May 2019
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy Adam Sealfon Jonathan R. Ullman 39 45 0 24 May 2019
Differentially Private Nonparametric Hypothesis Testing Simon Couch Zeki Kazan Kaiyan Shi Andrew Bray Adam Groce 35 44 0 22 Mar 2019
Improved Differentially Private Analysis of Variance Marika Swanberg Ira Globus-Harris Iris Griffith Anna M. Ritz Adam Groce Andrew Bray 40 21 0 01 Mar 2019
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy T. Tony Cai Yichen Wang Linjun Zhang 66 168 0 12 Feb 2019
The Structure of Optimal Private Tests for Simple Hypotheses C. Canonne Gautam Kamath Audra McMillan Adam D. Smith Jonathan R. Ullman 51 75 0 27 Nov 2018
Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation C. Borgs J. Chayes Adam D. Smith Ilias Zadik FedML 64 46 0 04 Oct 2018
Differentially Private Change-Point Detection Rachel Cummings Sara Krehbiel Y. Mei Rui Tuo Wanrong Zhang 32 30 0 29 Aug 2018
Differentially Private Uniformly Most Powerful Tests for Binomial Data Jordan Awan Aleksandra B. Slavkovic 58 53 0 23 May 2018
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 86 151 0 01 May 2018
INSPECTRE: Privately Estimating the Unseen Jayadev Acharya Gautam Kamath Ziteng Sun Huanyu Zhang 57 21 0 28 Feb 2018
Finite Sample Differentially Private Confidence Intervals Vishesh Karwa Salil P. Vadhan 55 193 0 10 Nov 2017
Differentially Private ANOVA Testing Zachary Campbell Andrew Bray Anna M. Ritz Adam Groce 46 27 0 03 Nov 2017
Differentially Private Identity and Closeness Testing of Discrete Distributions Maryam Aliakbarpour Ilias Diakonikolas R. Rubinfeld FedML 85 14 0 18 Jul 2017
Differentially Private Testing of Identity and Closeness of Discrete Distributions Jayadev Acharya Ziteng Sun Huanyu Zhang 57 76 0 17 Jul 2017
Tight Lower Bounds for Differentially Private Selection Thomas Steinke Jonathan R. Ullman 75 75 0 10 Apr 2017
PrivÍT: Private and Sample Efficient Identity Testing Bryan Cai C. Daskalakis Gautam Kamath 58 52 0 29 Mar 2017
Renyi Differential Privacy Ilya Mironov 77 1,258 0 24 Feb 2017
A New Class of Private Chi-Square Tests Daniel Kifer Ryan M. Rogers 53 25 0 24 Oct 2016
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds Mark Bun Thomas Steinke 84 833 0 06 May 2016
Make Up Your Mind: The Price of Online Queries in Differential Privacy Mark Bun Thomas Steinke Jonathan R. Ullman 54 58 0 15 Apr 2016
Concentrated Differential Privacy Cynthia Dwork G. Rothblum 68 450 0 06 Mar 2016
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing Marco Gaboardi H. Lim Ryan M. Rogers Salil P. Vadhan 58 140 0 07 Feb 2016
Private Graphon Estimation for Sparse Graphs C. Borgs J. Chayes Adam D. Smith 174 87 0 19 Jun 2015
Differentially Private Release and Learning of Threshold Functions Mark Bun Kobbi Nissim Uri Stemmer Salil P. Vadhan 71 196 0 28 Apr 2015
Between Pure and Approximate Differential Privacy Thomas Steinke Jonathan R. Ullman FedML 81 159 0 24 Jan 2015
Private Learning and Sanitization: Pure vs. Approximate Differential Privacy A. Beimel Kobbi Nissim Uri Stemmer 88 194 0 10 Jul 2014
Fingerprinting Codes and the Price of Approximate Differential Privacy Mark Bun Jonathan R. Ullman Salil P. Vadhan FedML 68 211 0 13 Nov 2013
Differentially Private Data Analysis of Social Networks via Restricted Sensitivity Jeremiah Blocki Avrim Blum Anupam Datta Or Sheffet 78 219 0 22 Aug 2012
Iterative Constructions and Private Data Release Anupam Gupta Aaron Roth Jonathan R. Ullman 69 208 0 19 Jul 2011
Impossibility of Differentially Private Universally Optimal Mechanisms H. Brenner Kobbi Nissim 90 92 0 02 Aug 2010