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Xingliang Yuan
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Training-free Lexical Backdoor Attacks on Language Models


Feb 08, 2023
Yujin Huang, Terry Yue Zhuo, Qiongkai Xu, Han Hu, Xingliang Yuan, Chunyang Chen

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* Accepted to International World Wide Web Conference 2023, Security, Privacy & Trust Track 
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On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks


Jan 30, 2023
He Zhang, Xingliang Yuan, Quoc Viet Hung Nguyen, Shirui Pan

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Trustworthy Graph Neural Networks: Aspects, Methods and Trends


May 16, 2022
He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei

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* 36 pages, 7 tables, 4 figures 
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The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining


Mar 14, 2022
Yi Liu, Lei Xu, Xingliang Yuan, Cong Wang, Bo Li

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* INFOCOM 2022 
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Projective Ranking-based GNN Evasion Attacks


Feb 25, 2022
He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan

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Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization


Feb 04, 2022
Yifeng Zheng, Shangqi Lai, Yi Liu, Xingliang Yuan, Xun Yi, Cong Wang

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* Accepted in IEEE Transactions on Dependable and Secure Computing (TDSC), 2022 
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Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications


Oct 17, 2021
Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan

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* The short version of this paper has been published in the IEEE International Conference on Data Mining (ICDM) 2021 
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RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System


Dec 08, 2020
Yi Liu, Xingliang Yuan, Ruihui Zhao, Yifeng Zheng, Yefeng Zheng

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Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization


Oct 24, 2020
Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan

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Federated Learning for 6G Communications: Challenges, Methods, and Future Directions


Jun 04, 2020
Yi Liu, Xingliang Yuan, Zehui Xiong, Jiawen Kang, Xiaofei Wang, Dusit Niyato

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