257 citations · 537 across the 28 of their papers we have counts for
30 papers
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…
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…
A Unifying Privacy Analysis Framework for Unknown Domain Algorithms in Differential Privacy
Ryan Rogers
There are many existing differentially private algorithms for releasing histograms, i.e. counts with corresponding labels, in various settings. Our focus in this survey is to revis…
Adaptive Privacy Composition for Accuracy-first Mechanisms
Ryan Rogers, Gennady Samorodnitsky, Zhiwei Steven Wu +1
In many practical applications of differential privacy, practitioners seek to provide the best privacy guarantees subject to a target level of accuracy. A recent line of work by Li…
Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
Rachel Cummings, Damien Desfontaines, David Evans +21
In this article, we present a detailed review of current practices and state-of-the-art methodologies in the field of differential privacy (DP), with a focus of advancing DP's depl…
Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach
Rina Friedberg, Ryan Rogers
We study a new privacy model where users belong to certain sensitive groups and we would like to conduct statistical inference on whether there is significant differences in outcom…