Yufei is a Research Assistant Professor at City University of Hong Kong. He holds dual Ph.D. degrees from CityU (Computer Science) and Xi'an Jiaotong University (Control Science and Engineering), and earned both his B.Eng. and B.B.A. degrees from Xi'an Jiaotong University. He was a CityU postdoc before the RAP appointment. His research sits at the intersection of cybersecurity and AI, covering AI-related attack surfaces and AI-assisted security, with publications at venues including USENIX Security, NeurIPS, and NDSS.

Jianyu is a Research Fellow at City University of Hong Kong working with Prof. Cong Wang. He received his Ph.D. from The University of British Columbia in 2021 and was a Research Assistant Professor at Southern University of Science and Technology (2021–2025). His research focuses on trustworthy distributed systems, including blockchain performance and security, scalable BFT consensus, and distributed confidential computing, with publications at NSDI, USENIX Security, ICDE, EuroSys, and CCS.

Yuefeng received his B.S. degree with First Class Honors (2018) and Ph.D. degree (2022), both from City University of Hong Kong. He is currently a Postdoc Fellow who also teaches multiple courses as the course instructor at City University of Hong Kong. His research interests include secure system design, network security, blockchain, and more broadly application of cryptography. He is a member of IEEE.

Yi Liu received his B.Eng. degree from Heilongjiang University in 2019 and his Ph.D. from City University of Hong Kong in 2026. He was an intern at Tencent Jarvis Lab and is now a postdoc in the group. His research interests include security and privacy in machine learning, federated learning, and AIoT, with co-authored work on privacy-preserving LLM fine-tuning, federated learning, and LVLM red teaming at venues such as INFOCOM, WWW, MM, and KDD.

Xiaoyue is a postdoctoral researcher at City University of Hong Kong. Her research focuses on IoT and wireless systems security, including automated testing and fuzzing of smart-home and Matter ecosystems, firmware analysis, and privacy risks in large-scale location and Bluetooth tracking systems. She has published at security and mobile systems venues such as USENIX Security, MobiCom, and MobiSys.

Hongwei is a postdoctoral researcher at City University of Hong Kong working with Prof. Cong Wang. He earned his Ph.D. from Zhejiang University in 2024 as an Outstanding Graduate. His research interests include trustworthy AI and LLM security and safety, including watermarking and privacy protection for large language models.

Tianpei is a postdoctoral researcher at City University of Hong Kong. His research interests include applied cryptography and privacy-preserving machine learning, with prior affiliation at Zhejiang University.

Sirui received his first Bachelor's degree at Huazhong University of Science and Technology in 2015, when he was 15. Though he once focused on algorithms, he found his interest in ISA and system level security during his second undergraduate period in Zhejiang University. Currently he is trying to build hardware and binary defenses in a more algorithmic approach.

Sirui creates classical music in his spare time, and loves to hang out with friends for anything.

Longxiang received his B.Eng. degree from Wuhan University in 2023. His research interests include machine learning security, particularly in LLM, and autonomous driving security.

Shengchen received his B.Eng. degree in Computer Science and Technology at Northeastern University in 2022, and the M.S. degree in Electronic Commerce at City University of Hong Kong with Distinction in 2023. His research interests include blockchain security and privacy, consensus mechanisms, and DeFi.

Pinshen is a PhD student at City University of Hong Kong. He received his Bachelor degree at Southern University of Science and Technology. His research interests include confidential computing.

Xutao is a Ph.D. student in Computer Science at City University of Hong Kong (from 2026.09), advised by Prof. Cong Wang. He received a B.S. in Computer Science and Mathematics from Vanderbilt University (2022–2026). His research focuses on trustworthy AI, especially safety and alignment of agentic and multimodal language models.