🏋🏻‍♂️ Bo Hui

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

• 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

• 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

• 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

• 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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