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Rachel Cummings
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Jahr
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
69402021
Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate.
W Chen, A Collins, R Cummings, T Ke, Z Liu, D Rincon, X Sun, Y Wang, ...
SIAM International Conference on Data Mining (SDM), 379-390, 2011
4682011
Mariana Raykova, Dawn Song, Weikang Song, Sebastian U
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth …, 2021
2172021
On the compatibility of privacy and fairness
R Cummings, V Gupta, D Kimpara, J Morgenstern
Adjunct publication of the 27th conference on user modeling, adaptation and …, 2019
1982019
" 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
1092021
Truthful linear regression
R Cummings, S Ioannidis, K Ligett
Conference on Learning Theory (COLT), 448-483, 2015
802015
Adaptive learning with robust generalization guarantees
R Cummings, K Ligett, K Nissim, A Roth, ZS Wu
Conference on Learning Theory (COLT), 772-814, 2016
692016
Advances and open problems in federated learning. arXiv 2019
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv preprint arXiv:1912.04977, 2019
682019
Accuracy for sale: Aggregating data with a variance constraint
R Cummings, K Ligett, A Roth, ZS Wu, J Ziani
Conference on Innovations in Theoretical Computer Science (ITCS), 317-324, 2015
612015
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
602014
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
572021
Privacy and truthful equilibrium selection for aggregative games
R Cummings, M Kearns, A Roth, ZS Wu
Conference Web and Internet Economics (WINE), 286-299, 2015
562015
& Zhao, S.(2021). Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
Foundations and Trends® in Machine Learning 14 (1-2), 1-210, 1912
561912
Differential privacy for growing databases
R Cummings, S Krehbiel, KA Lai, U Tantipongpipat
Advances in Neural Information Processing Systems 31, 2018
532018
The role of differential privacy in gdpr compliance
R Cummings, D Desai
FAT’18: Proceedings of the Conference on Fairness, Accountability, and …, 2018
492018
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
462014
Attribute privacy: Framework and mechanisms
W Zhang, O Ohrimenko, R Cummings
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
442022
Differentially private change-point detection
R Cummings, S Krehbiel, Y Mei, R Tuo, W Zhang
Advances in neural information processing systems 31, 2018
442018
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
412023
Challenges towards the next frontier in privacy
R Cummings, D Desfontaines, D Evans, R Geambasu, M Jagielski, ...
arXiv preprint arXiv:2304.06929 1, 2023
382023
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