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Ryan Rogers
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Protection against reconstruction and its applications in private federated learning
A Bhowmick, J Duchi, J Freudiger, G Kapoor, R Rogers
arXiv preprint arXiv:1812.00984, 2018
2142018
Differentially private chi-squared hypothesis testing: Goodness of fit and independence testing
M Gaboardi, H Lim, R Rogers, S Vadhan
International conference on machine learning, 2111-2120, 2016
1182016
Max-information, differential privacy, and post-selection hypothesis testing
R Rogers, A Roth, A Smith, O Thakkar
2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS …, 2016
692016
Lower bounds for locally private estimation via communication complexity
J Duchi, R Rogers
Conference on Learning Theory, 1161-1191, 2019
652019
Psi
M Gaboardi, J Honaker, G King, J Murtagh, K Nissim, J Ullman, S Vadhan, ...
arXiv preprint arXiv:1609.04340, 2016
652016
Learning with Privacy at Scale
DP Team
Apple Machine Learning Journal 1 (8), 2017
632017
Privacy odometers and filters: Pay-as-you-go composition
RM Rogers, A Roth, J Ullman, S Vadhan
Advances in Neural Information Processing Systems, 1921-1929, 2016
622016
Local private hypothesis testing: Chi-square tests
M Gaboardi, R Rogers
International Conference on Machine Learning, 1626-1635, 2018
522018
Locally Private Mean Estimation: -test and Tight Confidence Intervals
M Gaboardi, R Rogers, O Sheffet
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
452019
Asymptotically truthful equilibrium selection in large congestion games
RM Rogers, A Roth
Proceedings of the fifteenth ACM conference on Economics and computation …, 2014
402014
LinkedIn's Audience Engagements API: A privacy preserving data analytics system at scale
R Rogers, S Subramaniam, S Peng, D Durfee, S Lee, SK Kancha, ...
arXiv preprint arXiv:2002.05839, 2020
352020
Practical differentially private top-k selection with pay-what-you-get composition
D Durfee, RM Rogers
Advances in Neural Information Processing Systems 32, 2019
352019
Do prices coordinate markets?
J Hsu, J Morgenstern, R Rogers, A Roth, R Vohra
Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016
352016
Optimal differential privacy composition for exponential mechanisms
J Dong, D Durfee, R Rogers
International Conference on Machine Learning, 2597-2606, 2020
282020
A new class of private chi-square tests
D Kifer, R Rogers
Proceedings of the 20th International Conference on Artificial Intelligence …, 2016
262016
A new class of private chi-square hypothesis tests
R Rogers, D Kifer
Artificial Intelligence and Statistics, 991-1000, 2017
252017
Inducing approximately optimal flow using truthful mediators
R Rogers, A Roth, J Ullman, ZS Wu
Proceedings of the sixteenth ACM conference on Economics and computation …, 2015
222015
Privatized machine learning using generative adversarial networks
A Bhowmick, AH Vyrros, RM Rogers
US Patent App. 15/892,246, 2019
152019
Bounding, concentrating, and truncating: Unifying privacy loss composition for data analytics
M Cesar, R Rogers
Algorithmic Learning Theory, 421-457, 2021
142021
Private pareto optimal exchange
S Kannan, J Morgenstern, R Rogers, A Roth
ACM Transactions on Economics and Computation (TEAC) 6 (3-4), 1-25, 2018
132018
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