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A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning


Sep 09, 2022
Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang


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A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning


Aug 18, 2022
Yuanqin He, Yan Kang, Jiahuan Luo, Lixin Fan, Qiang Yang


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FadMan: Federated Anomaly Detection across Multiple Attributed Networks


May 27, 2022
Nannan Wu, Ning Zhang, Wenjun Wang, Lixin Fan, Qiang Yang


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No Free Lunch Theorem for Security and Utility in Federated Learning


Mar 20, 2022
Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang


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No free lunch theorem for security and utility in federated learning


Mar 11, 2022
Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang


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FedIPR: Ownership Verification for Federated Deep Neural Network Models


Sep 27, 2021
Lixin Fan, Bowen Li, Hanlin Gu, Jie Li, Qiang Yang

* 23 pages, 12 figures 

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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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Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI


Jul 26, 2021
Quanshi Zhang, Tian Han, Lixin Fan, Zhanxing Zhu, Hang Su, Ying Nian Wu, Jie Ren, Hao Zhang


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ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment


Jul 12, 2021
Chun Chet Ng, Akmalul Khairi Bin Nazaruddin, Yeong Khang Lee, Xinyu Wang, Yuliang Liu, Chee Seng Chan, Lianwen Jin, Yipeng Sun, Lixin Fan

* International Conference on Document Analysis and Recognition (ICDAR) 2021 
* Technical report of ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment 

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