Published multiple papers on data security and privacy, AI security, and other related fields, including ESORICS'24, VLDB'24, ICDCS'24, CCS'23, NSDI'23, TDSC, CCS'22, CCS'19, TC, and more.
Research Experience
Professor, Fellow of the IEEE, Department of Computer Science, City University of Hong Kong.
Background
Interested in developing secure software systems with theoretical security/privacy guarantee and practical performance. Recent work has focused on data security (e.g., encrypted databases, multi-party encrypted analytics, proofs of remote storage, etc.), AI systems and security (e.g., red teaming for LLM, federated (un)learning, robust reinforcement learning, etc.), privacy-enhancing technologies (e.g., encrypted messaging and metadata privacy, anonymous communications, encrypted network middleboxes, etc.), blockchain and decentralised applications (e.g., decentralized storage auditing, on-chain/off-chain interoperability, consensus designs, etc.), and software security and systems (e.g., hardware-assisted security, anti-fuzzing techniques, boosting performance of deep learning clusters, etc.).