Differential Privacy for Government Agencies -- Are We There Yet?

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Differential Privacy for Government Agencies -- Are We There Yet?

17 February 2021

Joerg Drechsler

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Papers citing "Differential Privacy for Government Agencies -- Are We There Yet?"

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Title
"I need a better description'': An Investigation Into User Expectations For Differential Privacy Rachel Cummings Gabriel Kaptchuk Elissa M. Redmiles 52 83 0 13 Oct 2021
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data Ryan McKenna G. Miklau Daniel Sheldon SyDa 59 126 0 11 Aug 2021
The Limits of Differential Privacy (and its Misuse in Data Release and Machine Learning) J. Domingo-Ferrer David Sánchez Alberto Blanco-Justicia 88 109 0 04 Nov 2020
Bias and Variance of Post-processing in Differential Privacy Keyu Zhu Pascal Van Hentenryck Ferdinando Fioretto 47 42 0 09 Oct 2020
Congenial Differential Privacy under Mandated Disclosure Ruobin Gong Xiangxu Meng 23 26 0 24 Aug 2020
Controlling Privacy Loss in Sampling Schemes: an Analysis of Stratified and Cluster Sampling Mark Bun Jörg Drechsler Marco Gaboardi Audra McMillan Jayshree Sarathy 105 7 0 24 Jul 2020
Differentially Private Simple Linear Regression Daniel Alabi Audra McMillan Jayshree Sarathy Adam D. Smith Salil P. Vadhan 49 54 0 10 Jul 2020
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 78 124 0 04 Jun 2019
Issues Encountered Deploying Differential Privacy S. Garfinkel John M. Abowd Sarah Powazek 42 111 0 06 Sep 2018
An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices John M. Abowd Ian M. Schmutte 27 124 0 20 Aug 2018
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences Borja Balle Gilles Barthe Marco Gaboardi 84 392 0 04 Jul 2018
Collecting Telemetry Data Privately Bolin Ding Janardhan Kulkarni Sergey Yekhanin 58 688 0 05 Dec 2017
Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12 Jun Tang Aleksandra Korolova Xiaolong Bai Xueqiang Wang Xiaofeng Wang 45 291 0 08 Sep 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,162 0 01 Jul 2016
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 109 1,996 0 25 Jul 2014
A statistical framework for differential privacy Larry A. Wasserman Shuheng Zhou 118 486 0 16 Nov 2008