Wei Dong
I am currently a Nanyang Assistant Professor starting Fall 2024. Previously,
I was a post-doctoral fellow at
Carnegie Mellon University,
co-supervised by
Prof. Elaine Shi and
Prof. Giulia Fanti.
Before that, I received my PhD from the
CSE Department of
HKUST, advised by
Prof. Ke Yi.
I am looking for highly motivated Post-docs, Research Assistants, Ph.D. students
(Fall 2026), and Visiting Interns to join my group. Start dates for non-Ph.D.
positions are flexible. If you are interested, please email me your CV!
Research Interests
My research interests include data privacy and security, privacy-preserving AI, and LLM&AI security.
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Data Privacy and Security
We design differential-privacy mechanisms for a wide range of data-analytics
tasks, aiming to safeguard privacy in analytical outcomes. Our focus is on
solutions that are both theoretically sound and empirically effective.
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Privacy-Preserving AI
We leverage privacy-enhancing technologies such as DP, secure MPC, and ZKP to protect data privacy across the entire AI lifecycle—from data collection and training to deployment and inference.
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LLM and AI Security
We study security and misuse challenges associated with large language models,
including preserving privacy in LLM applications, protecting LLM intellectual
property, defending against malicious uses, and using LLMs to enhance system security.
Selected Awards
- SIGMOD Jim Gray Doctoral Dissertation Award Runner-up 2024
- Best PhD Dissertation Award 2023, CSE, HKUST
- SENG PhD Research Excellence Award 2023, HKUST
- ACM SIGMOD Research Highlight Award 2023
- ACM SIGMOD Best Paper Award 2022
- Hong Kong PhD Fellowship 2018–2022
Service
- PC Member: ICDE 2024, Usenix Security 2025, VLDB 2026,
Usenix Security 2026, SIGMOD 2026
Teaching
- SD6123 – Data Privacy in Data Science: 2024/25 Spring