An Uncertainty Principle is a Price of Privacy-Preserving Microdata

25 October 2021

Papers citing "An Uncertainty Principle is a Price of Privacy-Preserving Microdata"

5 / 5 papers shown

Title
Noisy Measurements Are Important, the Design of Census Products Is Much More Important John M. Abowd 12 3 0 20 Dec 2023
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry Gonzalo Munilla Garrido Xiaoyuan Liu Florian Matthes D. Song 20 24 0 07 Nov 2022
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 46 26 0 07 Sep 2022
Confidentiality Protection in the 2020 US Census of Population and Housing John M. Abowd Michael B. Hawes 11 26 0 07 Jun 2022
Prochlo: Strong Privacy for Analytics in the Crowd Andrea Bittau Ulfar Erlingsson Petros Maniatis Ilya Mironov A. Raghunathan David Lie Mitch Rudominer Ushasree Kode J. Tinnés B. Seefeld 88 278 0 02 Oct 2017