Xiaochen Zhu (he/him)

Research Assistant,
Institute of Data Science,
National University of Singapore

Email: xczhu@nus.edu.sg (NUS); xczhu@proton.me (Personal)
Office: COM1-01-08, 13 Computing Drive, Singapore 117417

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

Links to: Curriculum Vitae, Google Scholar Profile, DBLP Page, GitHub, Twitter.

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About me

I'm a full-time research assistant currently hosted by Prof Vincent Tan at National University of Singapore. I mostly work on data privacy. Prior to this, I graduated with Bachelor of Computing (Computer Science) with Honours (Highest Distinction) and Bachelor of Science with Honours (Highest Distinction) in Mathematics from National University of Singapore in June 2023, where I was very fortunate to be advised by Prof Xiaokui Xiao and Prof Vincent Tan.

News

Apr 2024 To serve on the Artifact Evaluation Committee for ACM CCS 2024.
Apr 2024 Moved this page to new domain at https://xczhu.com.
Feb 2024 Placed on the Honor List of Student Tutors for the Academic Year 2022-23 for TAing CS3230 Design and Analysis of Algorithms in Fall 2022.
Dec 2023 Our paper titled "On Data Distribution Leakage in Cross-Silo Federated Learning" is accepted to appear in TKDE. Congrats to the lead author Yangfan!
Nov 2023 Traveling to Copenhagen, Denmark to attend ACM CCS 2023.
Oct 2023 To serve on the Artifact Evaluation Committee for ACM CCS 2023.
Oct 2023 Posted a new paper, titled "Passive Inference Attacks on Split Learning via Adversarial Regularization".
Aug 2023 Featured in NUS Computing news for receiving Outstanding Undergraduate Researcher Prize.
Aug 2023 Paper with Prof Vincent Y. F. Tan and Prof Xiaokui Xiao, titled "Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation", accepted at CCS 2023!
Jul 2023 TAing DSA3102 Convex Optimization in Fall 2023.
Jul 2023 I'm happy to announce that I'm officially graduating with double honours degrees - Bachelor of Computing (Computer Science) with Honours (Highest Distinction) and Bachelor of Science with Honours (Highest Distinction) in Mathematics - from NUS!
Jun 2023 Awarded first place in SIGMOD Student Research Competition in the undergraduate category, qualifying to complete in the ACM SRC Grand Finals with first-place winners from other ACM conferences.
Jun 2023 Traveling to Bellevue, WA for SIGMOD 2023.
Jun 2023 Awarded Outstanding Undergraduate Researcher Prize (NUS university-level award for “best undergraduate researcher”) from NUS for my undergraduate thesis on Graph Neural Networks with Link Local Differential Privacy supervised by Prof Xiaokui Xiao and Prof Vincent Tan!
Mar 2023 Abstract Link Local Differential Privacy for GNNs via Bayesian Estimation accepted by ACM Student Research Competition (SIGMOD '23)!
Jan 2023 Received an overall rating of 4.5 out of 5 and four nominations for TAing CS3230 in Fall 2022.
Oct 2022 Invited to be a mentor in United Nations Privacy Enhancement Technologies Lab's first global virtual hackathon.
Jul 2022 Featured in SoC news for receiving Outstanding Computing Project Prize.
Jun 2022 TAing CS3230 Design and Analysis of Algorithms for fall 2022.
Jun 2022 I'm starting my bachelor's thesis for double honours degree on “Graph neural networks with differential privacy” under supervision of Prof Xiaokui Xiao and Prof Vincent Tan .
Jun 2022 My UROP project on Feature Inference Attacks in Split Learning with an Honest-but-Curious Server (supervised by Prof Xiaokui Xiao) recieves Outstanding Computing Project Prize from NUS School of Computing.
Feb 2022 I'm honoured to be admitted to the Turing Programme by NUS School of Computing.
Dec 2021 I'll be TAing CS3230 in Spring 2021.
Oct 2021 I'll be joining TikTok (Singapore) as a Software Engineer Intern in their privacy team in summer 2022.
Aug 2021 I'm starting my UROP project regarding data privacy in federated learning under supervision of Prof Xiaokui Xiao.
Jul 2021 I will be joining Prof Xiaokui Xiao 's research group as a research assistant working on data privacy and machine learning.
Jul 2021 I lead a team of four students completing a Google-sponsored research project titled “Privacy-Preserving Federated Learning in a Dual-Party Financial System Environment” in RIPS 2021.
Jun 2021 I will be TAing CS1231S again in Fall 2021.
Mar 2021 I'm honored to be offered to join Research in Industrial Projects for Students 2021 .
Dec 2020 I will be TAing CS2030S and CS1231S in Spring 2021.
Aug 2020 I will be TAing CS1231S and CS3243 in Fall 2020.
Aug 2020 I received Orbital project advanced level of achievement for Lunaris, an iOS app for LumiNUS developed by me and another NUS CS student, Tian Fang.
Apr 2020 I'm starting my UROPS project with Dr. Tin Lok Wong on Hilbert tenth problem.
Jan 2020 I will be TAing CS2030 in Spring 2020.

Publications

  1. 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), 2024+
  2. Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation
    Xiaochen Zhu, Vincent Y. F. Tan, Xiaokui Xiao
    Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security (CCS), 2651-2664, Nov 2023 (AR=234/1222≈19.15%)
  3. Link Local Differential Privacy in GNNs via Bayesian Estimation
    Xiaochen Zhu
    Companion of the 2023 International Conference on Management of Data (SIGMOD), 265-267, Jun 2023
    First place in SIGMOD Student Research Competition (Undergraduate Category)

Professional experience

Teaching (details)

I have taught the following courses as a teaching assistant at NUS. Mostly, I taught weekly tutorials/labs and/or marked assignments.

Service

Selected awards