10 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.CR2022★ 10 cited
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…
cs.CR2021★ 4 cited
An Uncertainty Principle is a Price of Privacy-Preserving Microdata
John Abowd, Robert Ashmead, Ryan Cumings-Menon +7
Privacy-protected microdata are often the desired output of a differentially private algorithm since microdata is familiar and convenient for downstream users. However, there is a…