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Robust Testing and Estimation under Manipulation Attacks


Apr 21, 2021
Jayadev Acharya, Ziteng Sun, Huanyu Zhang


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Learning with User-Level Privacy


Mar 02, 2021
Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh

* 39 pages, 0 figure 

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Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints


Oct 30, 2020
Jayadev Acharya, Yuhan Liu, Ziteng Sun


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Interactive Inference under Information Constraints


Aug 18, 2020
Jayadev Acharya, Clément L. Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi

* Fixed a typo in the table of results ("k" in the denominator of one expression should have been "sqrt(k)") 

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Differentially Private Assouad, Fano, and Le Cam


Apr 17, 2020
Jayadev Acharya, Ziteng Sun, Huanyu Zhang


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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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Can You Really Backdoor Federated Learning?


Dec 02, 2019
Ziteng Sun, Peter Kairouz, Ananda Theertha Suresh, H. Brendan McMahan

* To appear at the 2nd International Workshop on Federated Learning for Data Privacy and Confidentiality at NeurIPS 2019 

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Estimating Entropy of Distributions in Constant Space


Nov 18, 2019
Jayadev Acharya, Sourbh Bhadane, Piotr Indyk, Ziteng Sun

* NeurIPS 2019 

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Context-Aware Local Differential Privacy


Oct 31, 2019
Jayadev Acharya, Keith Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun


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Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit


Jul 20, 2019
Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi


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Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters


May 28, 2019
Jayadev Acharya, Ziteng Sun

* ICML 2019 

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Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication


Jun 27, 2018
Jayadev Acharya, Ziteng Sun, Huanyu Zhang


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INSPECTRE: Privately Estimating the Unseen


Feb 28, 2018
Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang


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Differentially Private Testing of Identity and Closeness of Discrete Distributions


Oct 31, 2017
Jayadev Acharya, Ziteng Sun, Huanyu Zhang


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