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Defending Label Inference and Backdoor Attacks in Vertical Federated Learning


Dec 10, 2021
Yang Liu, Zhihao Yi, Yan Kang, Yuanqin He, Wenhan Liu, Tianyuan Zou, Qiang Yang

* 9 pages, 7 figures, related previous work see arXiv:2007.03608 

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Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability


Nov 22, 2021
Yan Kang, Yang Liu, Yuezhou Wu, Guoqiang Ma, Qiang Yang


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FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning


Nov 16, 2021
Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Qiang Yang


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SecureBoost+ : A High Performance Gradient Boosting Tree Framework for Large Scale Vertical Federated Learning


Oct 21, 2021
Weijing Chen, Guoqiang Ma, Tao Fan, Yan Kang, Qian Xu, Qiang Yang


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Federated Deep Learning with Bayesian Privacy


Sep 27, 2021
Hanlin Gu, Lixin Fan, Bowen Li, Yan Kang, Yuan Yao, Qiang Yang


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FedMVT: Semi-supervised Vertical Federated Learning with MultiView Training


Aug 25, 2020
Yan Kang, Yang Liu, Tianjian Chen

* International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20) 

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FedML: A Research Library and Benchmark for Federated Machine Learning


Jul 27, 2020
Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr

* We maintain the source code, documents, and user community at https://fedml.ai 

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A Communication Efficient Vertical Federated Learning Framework


Dec 27, 2019
Yang Liu, Yan Kang, Xinwei Zhang, Liping Li, Yong Cheng, Tianjian Chen, Mingyi Hong, Qiang Yang


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Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication


Nov 08, 2017
Ahmed Elgammal, Yan Kang, Milko Den Leeuw


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