13 citations · 23 across the 4 of their papers we have counts for
4 papers · 1 filter
Noisy Measurements Are Important, the Design of Census Products Is Much More Important
John M. Abowd
McCartan et al. (2023) call for "making differential privacy work for census data users." This commentary explains why the 2020 Census Noisy Measurement Files (NMFs) are not the be…
Disclosure Avoidance for the 2020 Census Demographic and Housing Characteristics File
Ryan Cumings-Menon, Robert Ashmead, Daniel Kifer +4
In "The 2020 Census Disclosure Avoidance System TopDown Algorithm," Abowd et al. (2022) describe the concepts and methods used by the Disclosure Avoidance System (DAS) to produce f…
An In-Depth Examination of Requirements for Disclosure Risk Assessment
Ron S. Jarmin, John M. Abowd, Robert Ashmead +11
The use of formal privacy to protect the confidentiality of responses in the 2020 Decennial Census of Population and Housing has triggered renewed interest and debate over how to m…
Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census
Daniel Kifer, John M. Abowd, Robert Ashmead +5
The purpose of this paper is to guide interpretation of the semantic privacy guarantees for some of the major variations of differential privacy, which include pure, approximate, R…