Hsu, Justin

5 publications

IJCAI 2023 Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract) Jialu Bao, Nitesh Trivedi, Drashti Pathak, Justin Hsu, Subhajit Roy

FnTML 2021 Advances and Open Problems in Federated Learning Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, 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

AISTATS 2020 Hypothesis Testing Interpretations and Renyi Differential Privacy Borja Balle, Gilles Barthe, Marco Gaboardi, Justin Hsu, Tetsuya Sato

IJCAI 2019 Data Poisoning Against Differentially-Private Learners: Attacks and Defenses Yuzhe Ma, Xiaojin Zhu, Justin Hsu

ICML 2014 Dual Query: Practical Private Query Release for High Dimensional Data Marco Gaboardi, Emilio Jesus Gallego Arias, Justin Hsu, Aaron Roth, Zhiwei Steven Wu