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Model Inversion Attacks against Graph Neural Networks


Sep 19, 2022
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen

* Accepted by TKDE. arXiv admin note: substantial text overlap with arXiv:2106.02820 

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FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients


Jul 20, 2022
Zaixi Zhang, Xiaoyu Cao, Jinayuan Jia, Neil Zhenqiang Gong

* Accepted by KDD 2022 (Research Track) 

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FLDetector: Detecting Malicious Clients in Model Poisoning Attacks to Federated Learning


Jul 19, 2022
Zaixi Zhang, Xiaoyu Cao, Jinayuan Jia, Neil Zhenqiang Gong

* Accepted by KDD 2022 (Research Track) 

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ProtGNN: Towards Self-Explaining Graph Neural Networks


Dec 02, 2021
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee

* Accepted by AAAI'22 

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Motif-based Graph Self-Supervised Learning for Molecular Property Prediction


Oct 16, 2021
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee

* Accepted by NeurIPS'21 

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Motif-based Graph Self-Supervised Learning forMolecular Property Prediction


Oct 03, 2021
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee

* Accepted by NeurIPS'21 

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GraphMI: Extracting Private Graph Data from Graph Neural Networks


Jun 05, 2021
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen

* 7 pages, 6 figures, accepted by IJCAI'21 

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Backdoor Attacks to Graph Neural Networks


Jun 19, 2020
Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong


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