9 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Privacy-Preserving Race/Ethnicity Estimation for Algorithmic Bias Measurement in the U.S
Saikrishna Badrinarayanan, Osonde Osoba, Miao Cheng +4
AI fairness measurements, including tests for equal treatment, often take the form of disaggregated evaluations of AI systems. Such measurements are an important part of Responsibl…
cs.CR2024
Private Count Release: A Simple and Scalable Approach for Private Data Analytics
Ryan Rogers
We present a data analytics system that ensures accurate counts can be released with differential privacy and minimal onboarding effort while showing instances that outperform othe…
math.ST2016★ 9 cited
A New Class of Private Chi-Square Tests
Daniel Kifer, Ryan Rogers
In this paper, we develop new test statistics for private hypothesis testing. These statistics are designed specifically so that their asymptotic distributions, after accounting fo…