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Learning Differentially Private Mechanisms


Jan 04, 2021
Subhajit Roy, Justin Hsu, Aws Albarghouthi


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Analyzing Accuracy Loss in Randomized Smoothing Defenses


Mar 03, 2020
Yue Gao, Harrison Rosenberg, Kassem Fawaz, Somesh Jha, Justin Hsu

* 19 pages, 6 figures, 2 tables 

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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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Hypothesis Testing Interpretations and Renyi Differential Privacy


May 24, 2019
Borja Balle, Gilles Barthe, Marco Gaboardi, Justin Hsu, Tetsuya Sato


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Data Poisoning against Differentially-Private Learners: Attacks and Defenses


Mar 23, 2019
Yuzhe Ma, Xiaojin Zhu, Justin Hsu


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Do Prices Coordinate Markets?


Jun 22, 2016
Justin Hsu, Jamie Morgenstern, Ryan Rogers, Aaron Roth, Rakesh Vohra


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Dual Query: Practical Private Query Release for High Dimensional Data


Nov 19, 2015
Marco Gaboardi, Emilio Jesús Gallego Arias, Justin Hsu, Aaron Roth, Zhiwei Steven Wu

* Journal of Privacy and Confidentiality 7(2) 53--77 (2017) 

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Privately Solving Linear Programs


May 08, 2014
Justin Hsu, Aaron Roth, Tim Roughgarden, Jonathan Ullman


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