Truth Inference on Sparse Crowdsourcing Data with Local Differential Privacy

24 August 2018

Papers citing "Truth Inference on Sparse Crowdsourcing Data with Local Differential Privacy"

8 / 8 papers shown

Title
Collecting Telemetry Data Privately Bolin Ding Janardhan Kulkarni Sergey Yekhanin 55 686 0 05 Dec 2017
LoPub: High-Dimensional Crowdsourced Data Publication with Local Differential Privacy Xuebin Ren Chia-Mu Yu Weiren Yu Shusen Yang Xinyu Yang Julie McCann Philip S. Yu 27 108 0 13 Dec 2016
Principled Evaluation of Differentially Private Algorithms using DPBench Michael Hay Ashwin Machanavajjhala G. Miklau Yan Chen Dan Zhang 40 154 0 15 Dec 2015
Local, Private, Efficient Protocols for Succinct Histograms Raef Bassily Adam D. Smith FedML 59 457 0 18 Apr 2015
Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries Giulia Fanti Vasyl Pihur Ulfar Erlingsson 55 299 0 04 Mar 2015
Differentially Private Exponential Random Graphs Vishesh Karwa Aleksandra B. Slavkovic P. Krivitsky 80 42 0 16 Sep 2014
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 96 1,992 0 25 Jul 2014
What Can We Learn Privately? S. Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam D. Smith 132 1,466 0 06 Mar 2008