Geographic Spines in the 2020 Census Disclosure Avoidance System

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Geographic Spines in the 2020 Census Disclosure Avoidance System

30 March 2022

Ryan Cumings-Menon

Jeffrey C. Ocker

Pavel I Zhuravlev

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Papers citing "Geographic Spines in the 2020 Census Disclosure Avoidance System"

10 / 10 papers shown

Title
The 2020 United States Decennial Census Is More Private Than You (Might) Think Buxin Su Weijie J. Su Chendi Wang 63 3 0 11 Oct 2024
Slowly Scaling Per-Record Differential Privacy Brian Finley Anthony M Caruso Justin C Doty Ashwin Machanavajjhala Mikaela R Meyer David Pujol William Sexton Zachary Terner 71 1 0 26 Sep 2024
Disclosure Avoidance for the 2020 Census Demographic and Housing Characteristics File Ryan Cumings-Menon Robert Ashmead Daniel Kifer Philip Leclerc Matthew Spence Pavel I Zhuravlev John M. Abowd 50 3 0 18 Dec 2023
Random (Un)rounding : Vulnerabilities in Discrete Attribute Disclosure in the 2021 Canadian Census Christopher West Ivy Vecna Raiyan Chowdhury 35 0 0 25 Jul 2023
Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census Daniel Kifer John M. Abowd Robert Ashmead Ryan Cumings-Menon Philip Leclerc Ashwin Machanavajjhala William Sexton Pavel I Zhuravlev 87 27 0 07 Sep 2022
Optimizing error of high-dimensional statistical queries under differential privacy Ryan McKenna G. Miklau Michael Hay Ashwin Machanavajjhala 48 114 0 10 Aug 2018
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds Mark Bun Thomas Steinke 92 839 0 06 May 2016
Optimizing Histogram Queries under Differential Privacy Chao Li Michael Hay Vibhor Rastogi G. Miklau A. Mcgregor 79 352 0 23 Dec 2009
Boosting the Accuracy of Differentially-Private Histograms Through Consistency Michael Hay Vibhor Rastogi G. Miklau Dan Suciu FedML 119 239 0 06 Apr 2009
A statistical framework for differential privacy Larry A. Wasserman Shuheng Zhou 118 486 0 16 Nov 2008

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