Context-Aware Local Differential Privacy

31 October 2019

Papers citing "Context-Aware Local Differential Privacy"

21 / 21 papers shown

Title
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human Shuo Huang William MacLean Xiaoxi Kang Qiongkai Xu Zhuang Li Xingliang Yuan Zhuang Li Lizhen Qu 74 0 0 06 Jun 2024
Element Level Differential Privacy: The Right Granularity of Privacy Hilal Asi John C. Duchi O. Javidbakht 49 18 0 05 Dec 2019
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text Oluwaseyi Feyisetan Tom Diethe Thomas Drake 50 74 0 20 Oct 2019
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters Jayadev Acharya Ziteng Sun 59 60 0 28 May 2019
Federated Heavy Hitters Discovery with Differential Privacy Wennan Zhu Peter Kairouz H. B. McMahan Haicheng Sun Wei Li FedML 66 109 0 22 Feb 2019
Profile-Based Privacy for Locally Private Computations J. Geumlek Kamalika Chaudhuri 50 17 0 21 Jan 2019
Inference under Information Constraints I: Lower Bounds from Chi-Square Contraction Jayadev Acharya C. Canonne Himanshu Tyagi 68 110 0 30 Dec 2018
Local Obfuscation Mechanisms for Hiding Probability Distributions Yusuke Kawamoto Takao Murakami 68 26 0 03 Dec 2018
Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation C. Borgs J. Chayes Adam D. Smith Ilias Zadik FedML 62 46 0 04 Oct 2018
Test without Trust: Optimal Locally Private Distribution Testing Jayadev Acharya C. Canonne Cody R. Freitag Himanshu Tyagi 56 59 0 07 Aug 2018
Distributed Differential Privacy via Shuffling Albert Cheu Adam D. Smith Jonathan R. Ullman David Zeber M. Zhilyaev FedML 85 352 0 04 Aug 2018
Locally Private Bayesian Inference for Count Models Aaron Schein Zhiwei Steven Wu Alexandra Schofield Mingyuan Zhou Hanna M. Wallach 107 37 0 22 Mar 2018
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication Jayadev Acharya Ziteng Sun Huanyu Zhang 51 148 0 13 Feb 2018
One-sided Differential Privacy Stelios Doudalis Ios Kotsogiannis Samuel Haney Ashwin Machanavajjhala S. Mehrotra 29 52 0 16 Dec 2017
Optimal Schemes for Discrete Distribution Estimation under Locally Differential Privacy Min Ye A. Barg 70 178 0 02 Feb 2017
Discrete Distribution Estimation under Local Privacy Peter Kairouz Kallista A. Bonawitz Daniel Ramage 43 330 0 24 Feb 2016
Local, Private, Efficient Protocols for Succinct Histograms Raef Bassily Adam D. Smith FedML 56 457 0 18 Apr 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 86 1,987 0 25 Jul 2014
Distributed Private Heavy Hitters Justin Hsu S. Khanna Aaron Roth FedML 54 112 0 22 Feb 2012
Distributed Private Data Analysis: On Simultaneously Solving How and What A. Beimel Kobbi Nissim Eran Omri FedML 106 207 0 14 Mar 2011
What Can We Learn Privately? S. Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam D. Smith 115 1,465 0 06 Mar 2008