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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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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