LoPub: High-Dimensional Crowdsourced Data Publication with Local
Differential Privacy

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LoPub: High-Dimensional Crowdsourced Data Publication with Local Differential Privacy

13 December 2016

Philip S. Yu

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Papers citing "LoPub: High-Dimensional Crowdsourced Data Publication with Local Differential Privacy"

9 / 9 papers shown

Title
Collecting Telemetry Data Privately Bolin Ding Janardhan Kulkarni Sergey Yekhanin 58 686 0 05 Dec 2017
Optimal Differentially Private Mechanisms for Randomised Response N. Holohan D. Leith O. Mason 70 63 0 16 Dec 2016
Individual Differential Privacy: A Utility-Preserving Formulation of Differential Privacy Guarantees Jordi Soria-Comas J. Domingo-Ferrer David Sánchez David Megías 51 143 0 07 Dec 2016
Discrete Distribution Estimation under Local Privacy Peter Kairouz Kallista A. Bonawitz Daniel Ramage 50 330 0 24 Feb 2016
Local, Private, Efficient Protocols for Succinct Histograms Raef Bassily Adam D. Smith FedML 62 457 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
A* Sampling Chris J. Maddison Daniel Tarlow T. Minka 83 392 0 31 Oct 2014
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 96 1,992 0 25 Jul 2014
On Sampling, Anonymization, and Differential Privacy: Or, k-Anonymization Meets Differential Privacy Ninghui Li Wahbeh H. Qardaji D. Su 111 280 0 13 Jan 2011