Research Interests
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My research interests are related to data science, with a focus on data security and privacy. Our data science-related research results include topics such as AI security and privacy (including DNN, LLM), database, data security and privacy, Web3, and blockchain systems.
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Research Projects
Our team is proud to introduce Web3polyu—the first fully open-source, decentralized identifier (DID) infrastructure that redefines a new paradigm for privacy protection in Web3 through innovative technologies such as anonymous credentials and LLM. Currently, the Web3 ecosystem is facing the challenge of balancing privacy with compliance, and Web3polyu was created precisely to address this issue. The platform leverages cutting-edge technologies like zero-knowledge proofs and BBS+ signatures to construct a comprehensive identity solution:
- Issuers can generate credential templates efficiently with the help of LLM;
- Users can protect their privacy while meeting regulatory requirements through selective disclosure, truly achieving data sovereignty;
- Verifiers can authenticate users securely without leaking users' private information.
- Developers can easily build applications for KYC, academic credential verification, anti-fraud, and more.
Web3polyu returns data sovereignty back to users, establishing a secure and trustworthy digital identity infrastructure for the Web3 ecosystem.
Based on the Web3polyu platform, we implement a university credential issurance system. In the system, a student can acquire credentials (e.g., degree) from the university, and present such credentials to a company for job finding. The DID registration and verifiable credential (VC) presentation flow can be viewed in the figure below.
Recent Related Publications:
- IEEE TKDE 2023: Enabling Privacy-Preserving and Efficient Authenticated Graph Queries on Blockchain-Assisted Clouds
- IEEE S&P 2023: Leaking Arbitrarily Many Secrets: Any-out-of-Many Proofs and Applications to RingCT Protocols
- ESORICS 2023: n-MVTL Attack: Optimal Transaction Reordering Attack on DeFi
- IEEE/CVF CVPR 2023: StyLess: Boosting the Transferability of Adversarial Examples
- IEEE/CVF CVPR 2023: Physical-World Optical Adversarial Attacks on 3D Face Recognition
- IEEE ICDCS 2022: zkDET: A Traceable Data Exchange Scheme based on Non-Fungible Token and Zero-Knowledge
- ACM Multimedia 2021: Towards Multiple Black-boxes Attack via Adversarial Example Generation Network
- ACM CCS 2019: Power Adjusting and Bribery Racing: Novel Mining Attacks in the Bitcoin System
- IEEE J-SAC 2019: Power Control Identification: A Novel Sybil Attack Detection Scheme in VANETs Using RSSI
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