SoK: Chasing Accuracy and Privacy, and Catching Both in Differentially
Private Histogram Publication

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SoK: Chasing Accuracy and Privacy, and Catching Both in Differentially Private Histogram Publication

30 October 2019

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Papers citing "SoK: Chasing Accuracy and Privacy, and Catching Both in Differentially Private Histogram Publication"

12 / 12 papers shown

Title
Privacy-preserving mHealth Data Release with Pattern Consistency M. Hadian Xiaohui Liang Thamer Altuwaiyan Mohamed Mahmoud 39 13 0 12 Sep 2018
Principled Evaluation of Differentially Private Algorithms using DPBench Michael Hay Ashwin Machanavajjhala G. Miklau Yan Chen Dan Zhang 48 155 0 15 Dec 2015
Efficient Lipschitz Extensions for High-Dimensional Graph Statistics and Node Private Degree Distributions Sofya Raskhodnikova Adam D. Smith 59 41 0 29 Apr 2015
Differentially Private $k$ -Means Clustering D. Su Jianneng Cao Ninghui Li E. Bertino Hongxia Jin 40 153 0 22 Apr 2015
Local, Private, Efficient Protocols for Succinct Histograms Raef Bassily Adam D. Smith FedML 70 458 0 18 Apr 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 109 2,001 0 25 Jul 2014
Differentially Private Grids for Geospatial Data Wahbeh H. Qardaji Weining Yang Ninghui Li 76 262 0 06 Sep 2012
Differentially Private Data Analysis of Social Networks via Restricted Sensitivity Jeremiah Blocki Avrim Blum Anupam Datta Or Sheffet 86 221 0 22 Aug 2012
Optimizing Histogram Queries under Differential Privacy Chao Li Michael Hay Vibhor Rastogi G. Miklau A. Mcgregor 79 352 0 23 Dec 2009
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 158 1,490 0 01 Dec 2009
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning Benjamin I. P. Rubinstein Peter L. Bartlett Ling Huang N. Taft 114 295 0 30 Nov 2009
What Can We Learn Privately? S. Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam D. Smith 137 1,474 0 06 Mar 2008