Education
- University of Edinburgh
- Ph.D. in Informatics (expected graduation: Nov. 2026).
- Johns Hopkins University
- M.Sc. in Mechanical Engineering; research focus on AI for bioscience.
- Fudan University
- B.Sc. in Theoretical Mechanics.
News
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Dec 2025Smudged fingerprints in AI-generated images accepted to the 4th IEEE Conference on Secure and Trustworthy Machine Learning (SaTML 2026). Presents the first systematic removal and forgery attacks on image fingerprints. Preprint on arXiv.
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Sep 2025Released AuthPrint, detecting silent model swapping by malicious model providers in black-box image-generation APIs.
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Apr 2025Presented SoK: What Makes Private Learning Unfair? at SaTML 2025 (Copenhagen).
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Dec 2024SoK: What Makes Private Learning Unfair? accepted to the 3rd IEEE Conference on Secure and Trustworthy Machine Learning (SaTML 2025). Preprint on arXiv.
Publications
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arXiv preprint, 2025. To appear in 2026 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML).
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arXiv preprint, 2025.
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2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML).
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Bio-protocol, 2020.
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Journal of Cell Science, 2020.
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Journal of Cell Biology, 2019.
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Scientific Reports, Nature Publishing Group, 2019.
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BioMedical Engineering OnLine, 2016.
Note: * denotes equal contribution (co-first author).
Teaching and Tutoring
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Teaching AssistantPrivacy and Security with Machine Learning — University of Edinburgh (2023–2025)
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Teaching AssistantMathematical Image Analysis — Johns Hopkins University (2019–2020)
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Research TutoringFelipe Takaesu (JHU), Eliana Crentsil (JHU), Lucia Sablich (JHU), Shannon Flanary (JHU), Chunhan Fang (UoE).