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Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation


Mar 25, 2021
Chris Waites, Rachel Cummings


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Differentially Private Online Submodular Maximization


Oct 24, 2020
Sebastian Perez-Salazar, Rachel Cummings


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Attribute Privacy: Framework and Mechanisms


Sep 08, 2020
Wanrong Zhang, Olga Ohrimenko, Rachel Cummings


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Locally Interpretable Predictions of Parkinson's Disease Progression


Mar 20, 2020
Qiaomei Li, Rachel Cummings, Yonatan Mintz


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PAPRIKA: Private Online False Discovery Rate Control


Feb 27, 2020
Wanrong Zhang, Gautam Kamath, Rachel Cummings


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Advances and Open Problems in Federated Learning


Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao


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Differentially Private Mixed-Type Data Generation For Unsupervised Learning


Dec 06, 2019
Uthaipon Tantipongpipat, Chris Waites, Digvijay Boob, Amaresh Ankit Siva, Rachel Cummings


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Privately detecting changes in unknown distributions


Oct 03, 2019
Rachel Cummings, Sara Krehbiel, Yuliia Lut, Wanrong Zhang


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Differentially Private Change-Point Detection


Aug 29, 2018
Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang


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Differentially Private Online Submodular Optimization


Jul 06, 2018
Adrian Rivera Cardoso, Rachel Cummings


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Adaptive Learning with Robust Generalization Guarantees


Jun 02, 2016
Rachel Cummings, Katrina Ligett, Kobbi Nissim, Aaron Roth, Zhiwei Steven Wu


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The Possibilities and Limitations of Private Prediction Markets


Feb 24, 2016
Rachel Cummings, David M. Pennock, Jennifer Wortman Vaughan


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Truthful Linear Regression


Jun 10, 2015
Rachel Cummings, Stratis Ioannidis, Katrina Ligett

* To appear in Proceedings of the 28th Annual Conference on Learning Theory (COLT 2015) 

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Online Learning and Profit Maximization from Revealed Preferences


Nov 28, 2014
Kareem Amin, Rachel Cummings, Lili Dworkin, Michael Kearns, Aaron Roth


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