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Han Yu
Privacy and Robustness in Federated Learning: Attacks and Defenses

Dec 07, 2020
Lingjuan Lyu, Han Yu, Xingjun Ma, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu

* arXiv admin note: text overlap with arXiv:2003.02133; text overlap with arXiv:1911.11815 by other authors 
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Federated Crowdsensing: Framework and Challenges

Nov 06, 2020
Leye Wang, Han Yu, Xiao Han


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SCNet: A Neural Network for Automated Side-Channel Attack

Aug 02, 2020
Guanlin Li, Chang Liu, Han Yu, Yanhong Fan, Libang Zhang, Zongyue Wang, Meiqin Wang


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Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention

Jun 15, 2020
Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Yuan Jin

* 4 pages, 3 figures, 1 table, Accepted for Workshop on Federated Learning for Data Privacy and Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20) 
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Threats to Federated Learning: A Survey

Mar 04, 2020
Lingjuan Lyu, Han Yu, Qiang Yang

* 7 pages, 4 figures, 2 tables 
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FedCoin: A Peer-to-Peer Payment System for Federated Learning

Feb 26, 2020
Yuan Liu, Shuai Sun, Zhengpeng Ai, Shuangfeng Zhang, Zelei Liu, Han Yu

* 7 pages, 6 figures,21 references 
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Multi-Participant Multi-Class Vertical Federated Learning

Jan 30, 2020
Siwei Feng, Han Yu


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FOCUS: Dealing with Label Quality Disparity in Federated Learning

Jan 29, 2020
Yiqiang Chen, Xiaodong Yang, Xin Qin, Han Yu, Biao Chen, Zhiqi Shen

* 7 pages 
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FedVision: An Online Visual Object Detection Platform Powered by Federated Learning

Jan 17, 2020
Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang


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Advances and Open Problems in Federated Learning

Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, AurΓ©lien 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, AdriΓ  GascΓ³n, 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 KonečnΓ½, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, TancrΓ¨de Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Γ–zgΓΌr, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian TramΓ¨r, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao


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Reviewing and Improving the Gaussian Mechanism for Differential Privacy

Dec 07, 2019
Jun Zhao, Teng Wang, Tao Bai, Kwok-Yan Lam, Zhiying Xu, Shuyu Shi, Xuebin Ren, Xinyu Yang, Yang Liu, Han Yu

* 23 Pages 
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Transfer Learning with Dynamic Distribution Adaptation

Sep 17, 2019
Jindong Wang, Yiqiang Chen, Wenjie Feng, Han Yu, Meiyu Huang, Qiang Yang

* ACM Transactions on Intelligent Systems and Technology (ACM TIST) 2019 
 * Accepted to ACM Transactions on Intelligent Systems and Technology (ACM TIST) 2019, 25 pages. arXiv admin note: text overlap with arXiv:1807.07258 
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Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas

Jun 04, 2019
Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi

* 11pages 
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Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach

May 16, 2019
Jiawen Kang, Zehui Xiong, Dusit Niyato, Han Yu, Ying-Chang Liang, Dong In Kim

* submitted to the conference for potential publication 
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Easy Transfer Learning By Exploiting Intra-domain Structures

Apr 10, 2019
Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang

* Camera-ready version of IEEE International Conference on Multimedia and Expo (ICME) 2019; code available at http://transferlearning.xyz/code/traditional/EasyTL 
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Ethically Aligned Opportunistic Scheduling for Productive Laziness

Jan 02, 2019
Han Yu, Chunyan Miao, Yongqing Zheng, Lizhen Cui, Simon Fauvel, Cyril Leung

* Proceedings of the 2nd AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-19), 2019 
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Building Ethics into Artificial Intelligence

Dec 07, 2018
Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang

* H. Yu, Z. Shen, C. Miao, C. Leung, V. R. Lesser & Q. Yang, "Building Ethics into Artificial Intelligence," in Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), pp. 5527-5533, 2018 
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Visual Domain Adaptation with Manifold Embedded Distribution Alignment

Jul 28, 2018
Jindong Wang, Wenjie Feng, Yiqiang Chen, Han Yu, Meiyu Huang, Philip S. Yu

* ACM Multimedia conference 2018 (ACM MM) ORAL paper; top 10 papers; 9 pages; code available at http://transferlearning.xyz 
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Cross-position Activity Recognition with Stratified Transfer Learning

Jun 26, 2018
Yiqiang Chen, Jindong Wang, Meiyu Huang, Han Yu

* An extension of our PerCom 18 paper arXiv:1801.00820; submit to PMC journal (Pervasive and Mobile Computing); 22 pages 
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Surveillance Video Parsing with Single Frame Supervision

Nov 29, 2016
Si Liu, Changhu Wang, Ruihe Qian, Han Yu, Renda Bao


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A Survey on Artificial Intelligence and Data Mining for MOOCs

Jan 26, 2016
Simon Fauvel, Han Yu

* Working Paper 
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