Xiaochen Zhu (he/him)

Xiaochen Zhu
Image courtesy of Tingzhen Dong

PhD Student,
Computer Science and Artificial Intelligence Laboratory,
Department of Electricial Engineering and Computer Science,
Massachusetts Institute of Technology

Address: Room 32-G826, 32 Vassar St, Cambridge, MA 02139
Email: xczhu@mit.edu

My name can be pronounced probably approximately correctly as Shee-aw Chen Joo

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About me

I'm a PhD student at the EECS department at MIT who started in fall 2024, and I am very fortunate to be advised by Prof Srini Devadas.

I am passionate about the security and privacy of machine learning. I aim to design principled algorithms to enable trustworthy machine learning with provable privacy and security guarantees. Please refer to the Publications section for more details.

Prior to MIT, I graduated with bachelor's degrees in computer science and mathematics from National University of Singapore (NUS) in 2023, where I was very fortunate to be advised by Prof Xiaokui Xiao and Prof Vincent Tan.

I have also gained industry experience via internships at NVIDIA (summer 2026), Apple (summer 2025), and TikTok (summer 2021).

Outside of research, I enjoy cooking, biking, music, films, and photography.

Publications

Also see: Google Scholar, DBLP

  1. Privacy-Conscious Algorithm Design via PAC Privacy
    Mayuri Sridhar, Xiaochen Zhu, Srinivas Devadas
    Proceedings of the IEEE Symposium on Security and Privacy (S&P), 2171–2190, 2026
  2. Passive Inference Attacks on Split Learning via Adversarial Regularization
    Xiaochen Zhu, Xinjian Luo, Yuncheng Wu, Yangfan Jiang, Xiaokui Xiao, Beng Chin Ooi
    Proceedings of the Network and Distributed System Security (NDSS) Symposium, 2025
  3. On Data Distribution Leakage in Cross-Silo Federated Learning
    Yangfan Jiang, Xinjian Luo, Yuncheng Wu, Xiaochen Zhu, Xiaokui Xiao, Beng Chin Ooi
    IEEE Transcations on Knowledge and Data Engineering (TKDE), 36(7): 3312–3328, 2024
  4. Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation
    Xiaochen Zhu, Vincent Y. F. Tan, Xiaokui Xiao
    Proceedings of the ACM SIGSAC Conference on Computer and Communications Security (CCS), 2651–2664, 2023
  5. Link Local Differential Privacy in GNNs via Bayesian Estimation
    Xiaochen Zhu
    Companion of the International Conference on Management of Data (SIGMOD), 265–267, 2023
    First place in SIGMOD Student Research Competition (Undergraduate Category)

Teaching

Service

Selected awards