Ryan Rogers

26 papers A* 3A 4B 1Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Privacy-Preserving Race/Ethnicity Estimation for Algorithmic Bias Measurement in the U.S.
CoRR
Saikrishna Badrinarayanan, Osonde Osoba, Miao Cheng, Ryan Rogers, Sakshi Jain, Rahul Tandra, Natesh S. Pillai
2023 J jnl
A Unifying Privacy Analysis Framework for Unknown Domain Algorithms in Differential Privacy.
CoRR
Ryan Rogers
2023 J jnl
Adaptive Privacy Composition for Accuracy-first Mechanisms.
CoRR
Ryan Rogers, Gennady Samorodnitsky, Zhiwei Steven Wu, Aaditya Ramdas
2023 J jnl
Challenges towards the Next Frontier in Privacy.
CoRR
Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu, Matthew Jagielski, Yangsibo Huang, Peter Kairouz, Gautam Kamath, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie J. Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Sergey Yekhanin, Da Yu, Huanyu Zhang, Wanrong Zhang
2023 A* conf
Fully-Adaptive Composition in Differential Privacy.
ICML
Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Steven Wu
2022 J jnl
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints.
CoRR
Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas, Ryan Rogers
2022 A conf
Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown.
AISTATS
Adrian Rivera Cardoso, Ryan Rogers
2022 J jnl
Fully Adaptive Composition in Differential Privacy.
CoRR
Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Zhiwei Steven Wu
2022 — conf
Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach.
AFCP
Rina Friedberg, Ryan Rogers
2021 B conf
Bounding, Concentrating, and Truncating: Unifying Privacy Loss Composition for Data Analytics.
ALT
Mark Cesar, Ryan Rogers
2021 J jnl
Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown.
CoRR
Adrian Rivera Cardoso, Ryan Rogers
2021 J jnl
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale.
J. Priv. Confidentiality
Ryan Rogers, Subbu Subramaniam, Sean Peng, David Durfee, Seunghyun Lee, Santosh Kumar Kancha, Shraddha Sahay, Parvez Ahammad
2020 J jnl
A Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale.
CoRR
Ryan Rogers, Adrian Rivera Cardoso, Koray Mancuhan, Akash Kaura, Nikhil Gahlawat, Neha Jain, Paul Ko, Parvez Ahammad
2020 A conf
Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis.
AISTATS
Ryan Rogers, Aaron Roth, Adam D. Smith, Nathan Srebro, Om Thakkar, Blake E. Woodworth
2020 J jnl
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale.
CoRR
Ryan Rogers, Subbu Subramaniam, Sean Peng, David Durfee, Seunghyun Lee, Santosh Kumar Kancha, Shraddha Sahay, Parvez Ahammad
2020 A* conf
Optimal Differential Privacy Composition for Exponential Mechanisms.
ICML
Jinshuo Dong, David Durfee, Ryan Rogers
2020 J jnl
Unifying Privacy Loss Composition for Data Analytics.
CoRR
Mark Cesar, Ryan Rogers
2019 J jnl
Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis.
CoRR
Ryan Rogers, Aaron Roth, Adam D. Smith, Nathan Srebro, Om Thakkar, Blake E. Woodworth
2019 A conf
Locally Private Mean Estimation: $Z$-test and Tight Confidence Intervals.
AISTATS
Marco Gaboardi, Ryan Rogers, Or Sheffet
2019 J jnl
Optimal Differential Privacy Composition for Exponential Mechanisms and the Cost of Adaptivity.
CoRR
Jinshuo Dong, David Durfee, Ryan Rogers
2019 J jnl
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition.
CoRR
David Durfee, Ryan Rogers
2018 A* conf
Local Private Hypothesis Testing: Chi-Square Tests.
ICML
Marco Gaboardi, Ryan Rogers
2018 J jnl
Locally Private Mean Estimation: Z-test and Tight Confidence Intervals.
CoRR
Marco Gaboardi, Ryan Rogers, Or Sheffet
2018 J jnl
Private Pareto Optimal Exchange.
ACM Trans. Economics and Comput.
Sampath Kannan, Jamie Morgenstern, Ryan Rogers, Aaron Roth
2017 A conf
A New Class of Private Chi-Square Hypothesis Tests.
AISTATS
Ryan Rogers, Daniel Kifer
2016 J jnl
A New Class of Private Chi-Square Tests.
CoRR
Daniel Kifer, Ryan Rogers