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

7 September 2022

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

9 / 9 papers shown

Title
The 2020 United States Decennial Census Is More Private Than You (Might) Think Buxin Su Weijie J. Su Chendi Wang 58 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 64 1 0 26 Sep 2024
An Uncertainty Principle is a Price of Privacy-Preserving Microdata John M. Abowd Robert Ashmead Ryan Cumings-Menon S. Garfinkel Daniel Kifer Philip Leclerc William Sexton Ashley Simpson Christine Task Pavel I Zhuravlev 47 16 0 25 Oct 2021
Individual Privacy Accounting via a Renyi Filter Vitaly Feldman Tijana Zrnic 81 90 0 25 Aug 2020
Differential Privacy at Risk: Bridging Randomness and Privacy Budget Ashish Dandekar D. Basu S. Bressan 76 8 0 02 Mar 2020
Element Level Differential Privacy: The Right Granularity of Privacy Hilal Asi John C. Duchi O. Javidbakht 46 18 0 05 Dec 2019
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 56 124 0 04 Jun 2019
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising Borja Balle Yu Wang MLT 64 403 0 16 May 2018
The Composition Theorem for Differential Privacy Peter Kairouz Sewoong Oh Pramod Viswanath 98 679 0 04 Nov 2013