I am fortunate to work with a growing group of PhD students and visiting scholars at Griffith University. I have also had the pleasure of remotely supervising research students from other institutions.

Current Members:

• Jintian Ji (2026.4-now, PhD student@Griffith, co-supervised with Prof. Shirui PAN):
• Fang Long (2025.10-now, PhD student@Griffith):
• Shujun Wang (2025.10-now, PhD student@Griffith):
• Taehong Kim (2025.07-now, Visiting Professor@Griffith)
  • Robust and Efficient Federated Learning at the Edge
• Shuyu Chang (2024-now, Visiting PhD@Griffith):
  • On the Adversarial Aspects of Source Code Vulnerabilities in AI Systems
• Chenhong Luo (2024.10-now, PhD student@Griffith):
  • Private and Fairness-aware Deep Learning
• Xiaomei Zhang (2024.09-now, PhD student@Griffith):
  • Security Risks in Large Language Model
• Xiaoyan Feng (2024-now, PhD student@Griffith, co-supervised with Prof. Shirui PAN):
  • Detecting LLM-generated Content
• Di Mi (24-now, PhD student@XTU, jointly supervised with Prof. Haizhuan YUAN):
  • Model Extraction Attack and Defense in Image-to-Image Translation
• Zirui Gong (2024-now, PhD student@Griffith):
  • On the Trade-off of Robustness, Privacy and Fairness in Federated Learning
• Yuhang Zhou (2023-now, PhD student@HITsz, jointly supervised with Prof. Zhongyun HUA):
  • Adversarial Robustness and Generalization in Computer Vision
• Zhaoxi Zhang (2023-now, PhD Student@Griffith, jointly supervised with Prof. Yanjun ZHANG):
  • Detecting AI-Generated Contents
• Jiaheng Wei (2022-now, PhD student@RMIT, jointly supervised with Prof. Chao CHEN):
  • Memorization in Deep Learning and Its Interplay with Privacy and Security
• Lulu Xue (2022-now, Msc student@HUST, jointly supervised with Prof. Shengshan HU):
  • Privacy Attack and Defense in Federated Learning

Past Members:

• Hangtao Zhang (2023-2026.04, Msc@HUST -> PhD Student@UPenn): Investigating Backdoor Methods for Object Detection Models
• Ziqi Zhou (2023-2026, PhD@HUST -> TTAP@Chongqing University): Research on Techniques for Robustness Evaluation and Enhancement of Pre-Trained Models
• Linshan Hou (2022-2026.03, PhD@HITsz -> Senior Engineer@Hua Wei): Research On Backdoor Defense Techniques From A Deep Learning Model Lifecycle Perspective
• Guizhen Yang (2022-26.03, PhD@Deakin): Analysing Network Security and Privacy: From Proactive Defence to Inference Attacks
• Bilal Hussain Abbasi (2022-26.03, PhD@Deakin): Backdoor Attacks and Countermeasures in Deep Neural Networks
• Zeming Yao (2021-2025, PhD@Swinburne): Preventing Neural Trojan in Computer Vision
• Khondaker Tasrif Noor (2021-25, PhD@Deakin): Neural Architectures for Hierarchical Classification by Agreement
• Xiaoxing Mo (2022-25, PhD@Deakin): Backdoor Attack and Defense in Convolutional Neural Networks
• Yechao Zhang (2022-2025.5, PhD@HUST -> Research Fellow@NTU Singapore): Research on the Transfer Mechanism of Security Vulnerabilities in Deep Learning Models
• Wei Wan (21-25.5, PhD@HUST -> Assistant Professor@CityU Macau): Research on Key Technologies for Robustness Evaluation and Robustness Enhancement in Federated Learning
• Fuyi Wang (21-25.4, PhD@Deakin -> Research Fellow@RMIT): Privacy-Preserving Cloud Computing Applications With Secure Multiparty Computation
• Dong Chen (24-25, PhD@ShandongUniv, Visiting PhD@Griffith): Secure Aggregation With Applications
• Chenyu Zhu (24-25, Msc@HUST): Mitigate Backdoor in Object Detection Models
• Qiuyu Duan (21-24, Msc@HITsz -> Software Engineer@Tencent): Novel Backdoor Attacks on Deep Neural Networks
• Lin Li (21-24, PhD student@Swinburne -> Lecturer@SCU GC): Attack and Defence on PPG-Based Cybersecurity System
• Jinzhi Ouyang (21-23, Undergraduate student@XTU -> Msc student@XMU): Privacy-Aware Multimodal Deep Learning
• Yanping Wang (22-23, Visiting PhD from UESTC -> Lecturer@Xihua Uni): Anonymous and authenticated announcements in VANET
• Qi Zhong (19-23, PhD student@Deakin -> Assistant Professor@CityU Macau): Intellectual property protection of deep neural models
• Run Ran (19-22, Master@CQUPT -> PhD student@PolyU HK): Differential-private recommender system
• Nan Sun (17-20, PhD student@Deakin; 20-21 Research Fellow@Deakin -> Lecturer@UNSW): Data-driven cybersecurity incident prediction and discovery
• Junyang Qiu (17-20, PhD@Deakin -> Research Scientist@Jiangnan Institute of Computing Technology): Data-Driven Android Malware Intelligence with Machine Learning through Static Analysis
• Chee Keong (Allan) Ng (now with Melbourne Polytechnic as Sessional Lecturer): VoterChoice: A Ransomware Detection Honeypot with Multiple Voting Concept
• Dr. Shuxin Yang (19-20, JXUST)
• Dr. Hong Liu (18-19, CQUPT):