Artykuły udostępnione publicznie: - Rachel CummingsWięcej informacji
Niedostępny w żadnym miejscu: 1
TPDP'20: 6th Workshop on Theory and Practice of Differential Privacy
R Cummings, M Hay
Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020
Upoważnienia: US National Science Foundation, US Department of Defense
Dostępne w jakimś miejscu: 26
" I need a better description": An Investigation Into User Expectations For Differential Privacy
R Cummings, G Kaptchuk, EM Redmiles
Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021
Upoważnienia: US National Science Foundation, US Department of Defense
Adaptive learning with robust generalization guarantees
R Cummings, K Ligett, K Nissim, A Roth, ZS Wu
Conference on Learning Theory (COLT), 772-814, 2016
Upoważnienia: US National Science Foundation
Speed faults in computation by chemical reaction networks
HL Chen, R Cummings, D Doty, D Soloveichik
International Symposium on Distributed Computing (DISC), 16-30, 2014
Upoważnienia: US National Institutes of Health
Differentially private synthetic mixed-type data generation for unsupervised learning
UT Tantipongpipat, C Waites, D Boob, AA Siva, R Cummings
Intelligent Decision Technologies 15 (4), 779-807, 2021
Upoważnienia: US National Science Foundation
Differential privacy for growing databases
R Cummings, S Krehbiel, KA Lai, U Tantipongpipat
Advances in Neural Information Processing Systems 31, 2018
Upoważnienia: US National Science Foundation
Probability 1 computation with chemical reaction networks
R Cummings, D Doty, D Soloveichik
International Conference on DNA Computing and Molecular Programming (DNA), 37-52, 2014
Upoważnienia: US National Institutes of Health
Attribute privacy: Framework and mechanisms
W Zhang, O Ohrimenko, R Cummings
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
Upoważnienia: US National Science Foundation
Differentially private change-point detection
R Cummings, S Krehbiel, Y Mei, R Tuo, W Zhang
Advances in neural information processing systems 31, 2018
Upoważnienia: US National Science Foundation
What are the chances? explaining the epsilon parameter in differential privacy
P Nanayakkara, MA Smart, R Cummings, G Kaptchuk, EM Redmiles
32nd USENIX Security Symposium (USENIX Security 23), 1613-1630, 2023
Upoważnienia: US National Science Foundation, US Department of Defense
Algorithmic price discrimination
R Cummings, NR Devanur, Z Huang, X Wang
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
Upoważnienia: US National Science Foundation
Individual sensitivity preprocessing for data privacy
R Cummings, D Durfee
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
Upoważnienia: US National Science Foundation
Outlier-robust optimal transport: Duality, structure, and statistical analysis
S Nietert, Z Goldfeld, R Cummings
International Conference on Artificial Intelligence and Statistics, 11691-11719, 2022
Upoważnienia: US National Science Foundation
The Possibilities and Limitations of Private Prediction Markets
R Cummings, DM Pennock, JW Vaughan
Conference on Economics and Computation (EC), 143-160, 2016
Upoważnienia: US National Science Foundation
Optimal data acquisition with privacy-aware agents
R Cummings, H Elzayn, E Pountourakis, V Gkatzelis, J Ziani
2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 210-224, 2023
Upoważnienia: US National Science Foundation
The empirical implications of privacy-aware choice
R Cummings, F Echenique, A Wierman
Operations Research 64 (1), 67-78, 2016
Upoważnienia: US National Science Foundation
Differentially private normalizing flows for privacy-preserving density estimation
C Waites, R Cummings
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 1000 …, 2021
Upoważnienia: US National Science Foundation
Differentially private online submodular minimization
AR Cardoso, R Cummings
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Upoważnienia: US National Science Foundation
Differentially private online submodular maximization
SP Salazar, R Cummings
International Conference on Artificial Intelligence and Statistics, 1279-1287, 2021
Upoważnienia: US National Science Foundation
Privately detecting changes in unknown distributions
R Cummings, S Krehbiel, Y Lut, W Zhang
International Conference on Machine Learning, 2227-2237, 2020
Upoważnienia: US National Science Foundation
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