I am a current Ph.D. student at the
Johns Hopkins University advised by
Prof. Yinzhi Cao.
I received my M.S. in
Security Informatics from Hopkins and B.E. in Software
Engineering at Shandong University.
My research interests lie in achieving high performance and
privacy-preserving in Machine Learning. Check out
my resume if you are interested.
- ✉️ Email: {firstname}.{lastname}@jhu.edu
-
👨🏻💻 Github: BHui97
📃 Publications
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PLeak: Prompt Leaking Attacks against Large Language Model Applications
Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Philippe Burlina,and Yinzhi Cao
In the Proceedings of The ACM Conference on Computer and Communications Security (CCS), 2024.
Paper |
Code
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Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Zhenqiang Gong ,and Yinzhi Cao
To appear in the Annual IEEE/IFIP International Conference on Dependable Systems and Network (DSN), 2023.
Paper |
Code
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PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation
Bo Hui*, Yuchen Yang*, Haolin Yuan*, Neil Zhenqiang Gong ,and Yinzhi Cao (* Equal Contributions)
To appear in the Proceedings of USENIX Security Symposium, 2023
Paper |
Code
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Addressing Heterogeneity in Federated Learning via Distributional Transformation
Bo Hui*, Haolin Yuan*, Yuchen Yang*, Philippe Burlina, Neil Zhenqiang Gong, and Yinzhi Cao (* Equal Contributions)
In the Proceedings of European Conference on Computer Vision (ECCV), 2022
Paper |
Code
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Practical Blind Membership Inference Attack via Differential Comparisons
Bo Hui*, Yuchen Yang, Haolin Yuan*, Philippe Burlina, Neil Zhenqiang Gong, and Yinzhi Cao (* Equal Contributions)
In the Proceedings of Network & Distributed System Security Symposium (NDSS), 2021
Paper |
Code
🎲 Experiences
- Teaching Assistant, at the Johns Hopkins University, 2023.8--Now
- Research Assistant, at the Johns Hopkins University, 2020.3--Now
- Course Assistant, at the Johns Hopkins University, 2020.9--2020.12
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