Projects per year
Personal profile
Name in Chinese
吳道遠
Biography
Daoyuan Wu is an Assistant Professor and Ph.D. supervisor at the School of Data Science, Lingnan University, where he leads AIS2Lab (Artificial Intelligence and Systems Security Lab). He previously served as a Research Assistant Professor at CUHK and HKUST, and as a Senior Research Fellow at Nanyang Technological University. His research focuses on LLM for cybersecurity, LLM agent security, blockchain security, smart contract security, and AI infrastructure software security. He has published more than 30 CCF-A conference papers and 10 CCF-A journal papers, including work recognized with the NDSS 2025 Distinguished Paper Award. He has received research support and honors including the Stellar Academic Research Award, the CCF-Huawei Populus Grove Fund, and several HKSAR UGC funds. For details, please visit his lab page at https://AIS2Lab.github.io and his homepage at https://daoyuan14.github.io.
吴道远,香港岭南大学数据科学学院助理教授、博士生导师,人工智能与系统安全实验室(AIS2Lab)负责人。曾任香港中文大学、香港科技大学研究助理教授及南洋理工大学高级研究员。研究聚焦大模型赋能安全、智能体安全、区块链安全、智能合约安全、AI基础软件安全。已发表30余篇CCF-A会议论文和10篇CCF-A期刊论文,获NDSS 2025杰出论文奖、Stellar区块链基金会学术科研奖基金、CCF—华为胡杨林基金、香港特区政府UGC基金等。
Research interests
Large Language Model and AI Security: LLMs for Cybersecurity; Security of LLMs; AI Safety.
Blockchain and Smart Contract Security: Chain & DeFi Security, Consensus Security, Transaction Compliance.
GPU Software and Medical System Security: AI Infrastructure Security; Healthcare and Medical Security; EdgeAI Security.
Novel Program Analysis and Mobile Security: Novel Program Analysis & Fuzzing; LLM for Mobile; EdgeAI Security.
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Collaborations and top research areas from the last five years
Projects
- 8 Active
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A unified platform for benchmarking the security of AI agents across LLM, MCP, and mobile domains
WU, D. (PI)
1/06/26 → 31/05/28
Project: Other Knowledge Transfer
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Building Trustworthy Large Language Model (LLM)-Integrated Applications: A Full-Stack Lifecycle Approach (LU Part)
WU, D. (CoPI), WANG, S. (PI), CHEUNG, S. C. (CoPI), LI, B. (CoPI), MENG, W. (CoPI), SONG, Y. (CoPI), WANG, W. (CoPI) & ZHOU, X. (CoPI)
Research Grants Council (Hong Kong, China)
15/04/26 → 14/04/29
Project: Grant Research
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(Non-LU) Navigating AI Regulations: Participatory standard-setting, firm compliance, and self-regulation
LIU, N. (PI) & WU, D. (CoI)
1/01/26 → 31/12/28
Project: Non-LU Projects
Research output
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Detecting Code-Comment Inconsistencies in Smart Contracts by Combining LLM and Program Analysis
ZHANG, J., CHEN, J., ZHANG, T., LI, Y., WU, D., WANG, Y., GAO, J., CHEN, T. & CHEN, Z., 30 Jun 2026, (E-pub ahead of print) In: Proceedings of the ACM on Software Engineering. 3, FSE, p. 2350-2372Research output: Journal Publications › Journal Article (refereed) › peer-review
Open Access -
HKT-SmartAudit: Distilling Lightweight Models for Smart Contract Auditing
WEI, Z., SUN, J., ZHANG, Z., HOU, Z., ZHANG, X., LI, M., SUN, Y., WU, D., LIU, Y., LI, C., WAN, M. & DONG, J., 2026, In: IEEE Transactions on Information Forensics and Security. 21, p. 4446-4459 14 p.Research output: Journal Publications › Journal Article (refereed) › peer-review
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How Multi-Modal LLMs Reshape Visual Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation
WANG, L., YUAN, Y., SUN, A., LI, Z., MA, P., WU, D. & WANG, S., 13 May 2026, In: ACM Transactions on Software Engineering and Methodology.Research output: Journal Publications › Journal Article (refereed) › peer-review
Prizes
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Silver Reviewer, International Conference on Machine Learning (ICML) 2026
WU, D. (Recipient), 14 May 2026
Prize: Prize / Award (General) › Prize
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Distinguished Paper Award at NDSS Symposium 2025 (Non-LU)
LIU, Y. (Recipient), XUE, Y. (Recipient), WU, D. (Recipient), SUN, Y. (Recipient), LI, Y. (Recipient), SHI, M. (Recipient) & LIU, Y. (Recipient), Feb 2025
Prize: Prize (CDCF)
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