PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn

20 September 2018

Papers citing "PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn"

5 / 5 papers shown

Title
When the signal is in the noise: Exploiting Diffix's Sticky Noise Andrea Gadotti F. Houssiau Luc Rocher B. Livshits Yves-Alexandre de Montjoye 30 20 0 18 Apr 2018
Collecting Telemetry Data Privately Bolin Ding Janardhan Kulkarni Sergey Yekhanin 48 686 0 05 Dec 2017
Towards Practical Differential Privacy for SQL Queries Noah M. Johnson Joseph P. Near D. Song 32 268 0 28 Jun 2017
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
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 94 1,992 0 25 Jul 2014