STiL -- Secure and Trustworthy Intelligience Laboratory
STiL (2020 - ) is a research group, directed by Dr. Kai Zhou, in the Department of Computing at The Hong Kong Polytechnic University. We are a team of researchers working on problems in the general area of Security in Artificial Intelligence.We push the boundaries to build up secure and trustworthy intelligent systems that are privacy-preserving and robust to adversaries. Our research is interdisciplinary, covering several interesting sub-areas: machine learning/data mining, network science, applied cryptography, game theory, optimization, statistics, etc. Our latest works focus on the adversarial robustness of network analysis.
Funding
We would like to thank the following sponsors and funding agencies for supporting our research: The Hong Kong Polytechnic University, the University Grants Committee of Hong Kong, the National Natural Science Foundation of China, etc.- [UGC-ECS, Principle Investigator] Adversarial Robustness of Graph-based Anomaly Detection under Structural Attacks (2022/01/01-2024/12/31), HK$ 711,128.
- [UGC-GRF, Co-Investigator] Attacking Black-box Recommendations via User Profiles Generation under Hierarchical-structure Policy Gradient (2022/01/01-2024/12/31), HK$ 1,093,580, with Prof. Li, Qing (PI) and Dr. Fan, Wenqi (Co-I).
- [NSFC-Young Scientist Fund, Principle Investigator] Structural Attacks to Trust Analysis Systems in Signed Social Networks (2022/01/01-2024/12/31), RMB 240,000. ("针对符号社交互信网络分析系统的结构性攻击研究"，国家自然科学基金青年基金。)
Current Members
Research Assistant (2020.10 - 2022.6)
Postdoc (2022.7)
Ph.D. Student (2021.8)
MS, NYU; BS, Harbin Institute of Technology
Ph.D. Student (2021.8)
BS, Northeastern University
Ph.D. Student (2022.8)
BS, MS, Xiamen University
Mphil. Student (2022.8)
BS, Jinan University
Mphil. Student (2022.8)
BS, Northwestern Polytechnical University
Research Assistant (2022.7)
BS, Harbin Institute of Technology; MS, PolyU