I have a small group at Griffith and Deakin, and I also remotely supervise research students.

Current Members:

• 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
• Dong Chen (2024-now, Visiting PhD@Griffith):
  • Secure Aggregation With Applications
• Chenyu Zhu (2024-now, Msc@HUST, jointly supervised with Prof. Shengshan HU):
  • Mitigate Backdoor in Object Detection Models
• Niao Yang (2024-now, Honours student@Griffith):
  • Malicious Secure Computations
• 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
• Ziqi Zhou (2023-now, PhD student@HUST, jointly supervised with Prof. Shengshan HU):
  • Downstream Adversarial Attacks and Defenses
• Zhaoxi Zhang (2023-now, Visiting PhD@Griffith, jointly supervised with Prof. Yanjun ZHANG):
  • Detecting AI-Generated Contents
• Hangtao Zhang (2023-now, Msc@HUST, jointly supervised with Prof. Shengshan HU):
  • Fine-Grained Poisoning in Federated Learning
• Xiaoxing Mo (2022-now, PhD student@Deakin, jointly supervised with Prof. Wei LUO and Prof. Shang GAO):
  • Backdoor Attack and Defense in Convolutional Neural Networks
• 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
• Linshan Hou (2021-now, PhD student@HITsz, jointly supervised with Prof. Zhongyun HUA):
  • Backdoor Attack and Defense of Deep Neural Networks
• Khondaker Tasrif Noor (2021-now, PhD student@Deakin, jointly supervised with Prof. Wei LUO and Prof. Mohamed Reda Bouadjenek):
  • Architecture and Algorithm Design for Hierarchical Classification
• Guizhen Yang (2021-now, PhD student@Deakin, jointly supervised with Prof. Shang GAO):
  • Proactive Defense Mechanisms for Internet of Things
• Fuyi Wang (2021-now, PhD student@Deakin, jointly supervised with Prof. Lei PAN):
  • Secure Multiparty Computation Techniques and Applications
• Bilal Hussain Abbasi (2021-now, PhD student@Deakin, jointly supervised with Prof. Shang GAO):
  • Poisoning Attacks in Deep Learning
• Zeming Yao (2021-now, PhD student@Swinburne, jointly supervised with Prof. Chao CHEN):
  • Preventing Neural Trojan in Computer Vision
• Di Mi (21-now, PhD student@XTU, jointly supervised with Prof. Haizhuan YUAN):
  • Model Extraction Attack and Defense in Image-to-Image Translation
• Yechao Zhang (2020-now, PhD student@HUST, jointly supervised with Prof. Shengshan HU)
  • Adversarial Robustness in Deep Learning
• Wei Wan (2020-now, PhD student@HUST, jointly supervised with Prof. Shengshan HU)
  • Poisoning Attack and Defense in Federated Learning

Past Members:

• Qiuyu Duan (21-24, Msc@@HITsz; now Software Engineer@Tencent): Novel Backdoor Attacks on Deep Neural Networks
• Lin Li (21-24, PhD student@Swinburne; 24 Research Fellow@RMIT; now Lecturer at SCU@GC): Attack and Defence on PPG-Based Cybersecurity System
• Jinzhi Ouyang (21-23, Undergraduate student@XTU; now Msc student@XMU): Privacy-Aware Multimodal Deep Learning
• Yanping Wang (22-23, Visiting PhD student from UESTC): Anonymous and authenticated announcements in VANET
• Qi Zhong (19-23, PhD student@Deakin; now Assistant Professor at CityU@Macau): Intellectual property protection of deep neural models
• Run Ran (19-22, CQUPT; now PhD student at PolyU@HK): Differential-private recommender system
• Nan Sun (17-20, PhD student@Deakin; 20-21 Rearch Fellow@Deakin; now Lecturer at UNSW): Data-driven cybersecurity incident prediction and discovery
• Junyang Qiu (17-20, now 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):