管發乾 博士
助理教授 碩導
學校郵箱：fqguan@cityu.edu.mo
辦公電話：(853)85902421
辦公地址：澳門城市大學(氹仔)何鴻燊樓S504室
學歷
2025 地學信息工程博士, 中國地質大學, 中國湖北
2020 計算機應用技術碩士, 福州大學, 中國福建
2017 網絡工程學士, 閩南師範大學, 中國福建
現任
澳門城市大學數據科學學院助理教授
研究方向
人工智能隱私和安全
圖神經網絡
大語言模型
研究及出版
Faqian Guan, Tianqing Zhu, Wanlei Zhou, Kim-Kwang Raymond Choo. Graph neural networks: a survey on the links between privacy and security[J]. Artificial Intelligence Review, 2024, 57(2): 40. (JCR Q1, IF 13.9,中科院1区Top)
Faqian Guan, Tianqing Zhu, Wenhan Chang, Wei Ren, Wanlei Zhou. Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks [J]. IEEE Transactions on Dependable and Secure Computing, 2025. (JCR Q1, IF 7.5, 中科院2区, CCF A)
Faqian Guan, Tianqing Zhu, Hanjin Tong, Wanlei Zhou. Attention-based Membership Inference Attacks on Graph Neural Network through Topological Features [J]. IEEE Transactions on Dependable and Secure Computing, 2025. (JCR Q1, IF 7.5, 中科院2区, CCF A)
Faqian Guan, Tianqing Zhu, Hanjin Tong, Wanlei Zhou. A realistic model extraction attack against graph neural networks[J]. Knowledge-Based Systems, 2024: 112144. (JCR Q1, IF 7.6, 中科院1区Top)
Faqian Guan, Tianqing Zhu, Wanlei Zhou, Philip S. Yu. Topology-based Node-level Membership Inference Attacks on Graph Neural Networks [J]. IEEE Transactions on Big Data, 2025. (JCR Q1, IF 5.7, 中科院2区)
Faqian Guan, Tianqing Zhu, Hui Sun, Wanlei Zhou, Philip S. Yu. Large Language Models for Link Stealing Attacks Against Graph Neural Networks[J]. IEEE Transactions on Big Data, 2024. (JCR Q1, IF 5.7, 中科院2区)
Faqian Guan, Tianqing Zhu, Hanjin Tong, Wanlei Zhou. Topology modification against membership inference attack in Graph Neural Networks[J]. Knowledge-Based Systems, 2024, 305: 112642. (JCR Q1, IF 7.6, 中科院1区Top)
Faqian Guan, Chunyan Yu, Suqiong Yang. A GAN model with self-attention mechanism to generate multiinstruments symbolic music[C]//2019 International joint conference on neural networks (IJCNN). IEEE, 2019: 1-6. (EI, CCF-C)
Hanjin Tong, Tianqing Zhu, Faqian Guan. Defense against graph Injection attack in graph neural networks[C]//2024 International Conference on Data Science in Cyberspace (DSC). (EI, Best Paper)
