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 accepted to the 4th IEEE Conference on Secure and Trustworthy Machine Learning (SaTML 2026). Introduces the first systematic adversarial attack framework against model fingerprints in AI-generated images. Preprint available on arXiv.
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Sep 2025Released AuthPrint, a black-box ML approach for detecting silent model swapping by malicious image-generation API providers. This is the first work to formally address this threat model.
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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). Provides the first causal analysis of fairness degradation induced by differential privacy in machine learning. Preprint available 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).