Bayesian and Frequentist Semantics for Common Variations of Differential
Privacy: Applications to the 2020 Census

Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census

7 September 2022

Ryan Cumings-Menon

Ashwin Machanavajjhala

Pavel I Zhuravlev

Papers citing "Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census"

18 / 18 papers shown

Title
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy Nicolas Küchler Alexander Viand Hidde Lycklama Anwar Hithnawi 21 0 0 10 May 2025
But Can You Use It? Design Recommendations for Differentially Private Interactive Systems Liudas Panavas Joshua Snoke Erika Tyagi C. Bowen Aaron R. Williams 67 0 0 16 Dec 2024
The 2020 United States Decennial Census Is More Private Than You (Might) Think Buxin Su Weijie J. Su Chendi Wang 18 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 31 1 0 26 Sep 2024
The Complexities of Differential Privacy for Survey Data Jorg Drechsler James Bailie 19 3 0 13 Aug 2024
Bayesian Inference Under Differential Privacy: Prior Selection Considerations with Application to Univariate Gaussian Data and Regression Zeki Kazan Jerome P. Reiter 27 1 0 22 May 2024
Towards more accurate and useful data anonymity vulnerability measures Paul Francis David Wagner 22 1 0 11 Mar 2024
General Inferential Limits Under Differential and Pufferfish Privacy J. Bailie Ruobin Gong 19 1 0 27 Jan 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 21 3 0 18 Dec 2023
An In-Depth Examination of Requirements for Disclosure Risk Assessment Ron S. Jarmin John M. Abowd Robert Ashmead Ryan Cumings-Menon N. Goldschlag ... Jerome P. Reiter Rolando A. Rodríguez Ian M. Schmutte V. Velkoff Pavel I Zhuravlev 13 8 0 13 Oct 2023
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy Zeki Kazan Jerome P. Reiter 19 3 0 19 Jun 2023
Augment then Smooth: Reconciling Differential Privacy with Certified Robustness Jiapeng Wu Atiyeh Ashari Ghomi David Glukhov Jesse C. Cresswell Franziska Boenisch Nicolas Papernot AAML 25 1 0 14 Jun 2023
On the connection between the ABS perturbation methodology and differential privacy Parastoo Sadeghi Chien-Hung Chien 12 2 0 24 Mar 2023
$$21^{st}$ Century Statistical Disclosure Limitation: Motivations and Challenges$ $21^{st}$ Century Statistical Disclosure Limitation: Motivations and Challenges John M. Abowd Michael B. Hawes 20 1 0 01 Mar 2023
Answering Private Linear Queries Adaptively using the Common Mechanism Yingtai Xiao Guanhong Wang Danfeng Zhang Daniel Kifer 37 7 0 30 Nov 2022
Geographic Spines in the 2020 Census Disclosure Avoidance System Ryan Cumings-Menon John M. Abowd Robert Ashmead Daniel Kifer Philip Leclerc Jeffrey C. Ocker M. Ratcliffe Pavel I Zhuravlev CML 11 86 0 30 Mar 2022
Individual Privacy Accounting via a Renyi Filter Vitaly Feldman Tijana Zrnic 46 86 0 25 Aug 2020
Differential Privacy at Risk: Bridging Randomness and Privacy Budget Ashish Dandekar D. Basu S. Bressan 16 8 0 02 Mar 2020