Randomized Response Mechanisms for Differential Privacy Data Analysis: Bounds and Applications

14 December 2021

Papers citing "Randomized Response Mechanisms for Differential Privacy Data Analysis: Bounds and Applications"

11 / 11 papers shown

Title
PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility Xiaolan Gu Ming Li Yueqiang Cheng Li Xiong Yang Cao 58 81 0 28 Nov 2019
Conditional Analysis for Key-Value Data with Local Differential Privacy Lin Sun Jun Zhao Xiaojun Ye Shuo Feng Teng Wang Tao Bai 72 18 0 11 Jul 2019
A Random Sample Partition Data Model for Big Data Analysis Salman Salloum Yulin He J. Huang Xiaoliang Zhang Tamer Z. Emara Chenghao Wei Heping He 34 73 0 12 Dec 2017
Collecting Telemetry Data Privately Bolin Ding Janardhan Kulkarni Sergey Yekhanin 58 688 0 05 Dec 2017
Prio: Private, Robust, and Scalable Computation of Aggregate Statistics Henry Corrigan-Gibbs Dan Boneh 36 352 0 18 Mar 2017
Optimal Differentially Private Mechanisms for Randomised Response N. Holohan D. Leith O. Mason 77 63 0 16 Dec 2016
Discrete Distribution Estimation under Local Privacy Peter Kairouz Kallista A. Bonawitz Daniel Ramage 53 330 0 24 Feb 2016
Local, Private, Efficient Protocols for Succinct Histograms Raef Bassily Adam D. Smith FedML 62 458 0 18 Apr 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 96 1,995 0 25 Jul 2014
The Composition Theorem for Differential Privacy Peter Kairouz Sewoong Oh Pramod Viswanath 123 682 0 04 Nov 2013
Privacy Aware Learning John C. Duchi Michael I. Jordan Martin J. Wainwright 162 290 0 07 Oct 2012