Differentially Private Assouad, Fano, and Le Cam

14 April 2020

Papers citing "Differentially Private Assouad, Fano, and Le Cam"

42 / 42 papers shown

Title
Learning with Differentially Private (Sliced) Wasserstein Gradients David Rodríguez-Vítores Clément Lalanne Jean-Michel Loubes FedML 65 0 0 03 Feb 2025
Interactive Inference under Information Constraints Jayadev Acharya C. Canonne Yuhan Liu Ziteng Sun Himanshu Tyagi 57 35 0 21 Jul 2020
Privately Learning Markov Random Fields Huanyu Zhang Gautam Kamath Janardhan Kulkarni Zhiwei Steven Wu 56 25 0 21 Feb 2020
Private Mean Estimation of Heavy-Tailed Distributions Gautam Kamath Vikrant Singhal Jonathan R. Ullman 48 99 0 21 Feb 2020
Private Hypothesis Selection Mark Bun Gautam Kamath Thomas Steinke Zhiwei Steven Wu 30 90 0 30 May 2019
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters Jayadev Acharya Ziteng Sun 49 60 0 28 May 2019
Dualizing Le Cam's method for functional estimation, with applications to estimating the unseens Yury Polyanskiy Yihong Wu 10 11 0 14 Feb 2019
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy T. Tony Cai Yichen Wang Linjun Zhang 51 165 0 12 Feb 2019
An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation Jonathan Scarlett Volkan Cevher 53 40 0 02 Jan 2019
Inference under Information Constraints I: Lower Bounds from Chi-Square Contraction Jayadev Acharya C. Canonne Himanshu Tyagi 46 110 0 30 Dec 2018
The Structure of Optimal Private Tests for Simple Hypotheses C. Canonne Gautam Kamath Audra McMillan Adam D. Smith Jonathan R. Ullman 44 72 0 27 Nov 2018
Linear Queries Estimation with Local Differential Privacy Raef Bassily 21 44 0 05 Oct 2018
Test without Trust: Optimal Locally Private Distribution Testing Jayadev Acharya C. Canonne Cody R. Freitag Himanshu Tyagi 48 58 0 07 Aug 2018
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 81 151 0 01 May 2018
INSPECTRE: Privately Estimating the Unseen Jayadev Acharya Gautam Kamath Ziteng Sun Huanyu Zhang 45 21 0 28 Feb 2018
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication Jayadev Acharya Ziteng Sun Huanyu Zhang 38 148 0 13 Feb 2018
Collecting Telemetry Data Privately Bolin Ding Janardhan Kulkarni Sergey Yekhanin 35 676 0 05 Dec 2017
Finite Sample Differentially Private Confidence Intervals Vishesh Karwa Salil P. Vadhan 39 193 0 10 Nov 2017
Local Private Hypothesis Testing: Chi-Square Tests Marco Gaboardi Ryan M. Rogers 34 57 0 21 Sep 2017
Differentially Private Testing of Identity and Closeness of Discrete Distributions Jayadev Acharya Ziteng Sun Huanyu Zhang 55 74 0 17 Jul 2017
Tight Lower Bounds for Differentially Private Selection Thomas Steinke Jonathan R. Ullman 57 73 0 10 Apr 2017
PrivÍT: Private and Sample Efficient Identity Testing Bryan Cai C. Daskalakis Gautam Kamath 53 51 0 29 Mar 2017
Optimal Schemes for Discrete Distribution Estimation under Locally Differential Privacy Min Ye A. Barg 48 178 0 02 Feb 2017
The Le Cam distance between density estimation, Poisson processes and Gaussian white noise Kolyan Ray Johannes Schmidt-Hieber 54 12 0 05 Aug 2016
Make Up Your Mind: The Price of Online Queries in Differential Privacy Mark Bun Thomas Steinke Jonathan R. Ullman 40 58 0 15 Apr 2016
Discrete Distribution Estimation under Local Privacy Peter Kairouz Kallista A. Bonawitz Daniel Ramage 20 327 0 24 Feb 2016
Differentially Private Ordinary Least Squares Or Sheffet 28 114 0 09 Jul 2015
Differentially Private Release and Learning of Threshold Functions Mark Bun Kobbi Nissim Uri Stemmer Salil P. Vadhan 53 195 0 28 Apr 2015
Between Pure and Approximate Differential Privacy Thomas Steinke Jonathan R. Ullman FedML 46 159 0 24 Jan 2015
Privacy and Statistical Risk: Formalisms and Minimax Bounds Rina Foygel Barber John C. Duchi PILM 49 91 0 15 Dec 2014
Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery Thomas Steinke Jonathan R. Ullman 51 108 0 05 Oct 2014
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 51 1,977 0 25 Jul 2014
Minimax rates of entropy estimation on large alphabets via best polynomial approximation Yihong Wu Pengkun Yang 71 220 0 01 Jul 2014
Minimax Estimation of Functionals of Discrete Distributions Jiantao Jiao K. Venkat Yanjun Han Tsachy Weissman 69 244 0 26 Jun 2014
Near-optimal-sample estimators for spherical Gaussian mixtures A. Suresh Ashkan Jafarpour A. Orlitsky Jayadev Acharya 56 91 0 19 Feb 2014
Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of Gaussians C. Daskalakis Gautam Kamath 124 91 0 04 Dec 2013
Fingerprinting Codes and the Price of Approximate Differential Privacy Mark Bun Jonathan R. Ullman Salil P. Vadhan FedML 39 211 0 13 Nov 2013
The Composition Theorem for Differential Privacy Peter Kairouz Sewoong Oh Pramod Viswanath 86 677 0 04 Nov 2013
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 93 1,482 0 01 Dec 2009
On the Geometry of Differential Privacy Moritz Hardt Kunal Talwar 84 462 0 21 Jul 2009
A statistical framework for differential privacy Larry A. Wasserman Shuheng Zhou 75 482 0 16 Nov 2008
What Can We Learn Privately? S. Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam D. Smith 95 1,459 0 06 Mar 2008