10 citations · 14 across the 3 of their papers we have counts for
3 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…
cond-mat.soft2020
Low force unfolding of a single-domain protein by parallel pathways
Pavel I. Zhuravlev, Michael Hinczewski, D. Thirumalai
Deviations from linearity in the dependence of the logarithm of protein unfolding rates, , as a function of mechanical force, , measurable in single molecule experi…