Yuntao Du (杜云滔)
Data Privacy & Trustworthy Machine Learning

I am a PhD student in computer science at Purdue University, advised by Prof. Ninghui Li. My research interests lie in Data Privacy and Privacy in Machine Learning. I am also broadly interested in analyzing emerging privacy and security risks arising from recent advances in AI. Here is my CV.
My research has been recognized and supported by the Ross Fellowship (2023-2027), Presidential Doctoral Excellence Awards (2023-2027), and Herbold Scholarship (2023-2024).
News
Sep 19, 2025 | We present a comprehensive study on the emerging privacy risks of LLMs beyond data privacy. |
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Sep 9, 2025 | We introduce a highly efficient yet powerful membership inference attack called Imitative MIA. |
Aug 31, 2025 | We present a new class of MIA for jointly membership inference, which will be presented at NDSS 2026. |
Aug 21, 2025 | Our paper on assessment of tabular data synthesis algorithms is accepted by CCS 2025! |
May 7, 2025 | We present a new privacy threat to online pseudonymity with Language Model Agents. |
Selected Publications
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Data Eng. BulletinBeyond Data Privacy: New Privacy Risks for Large Language ModelsIEEE Data Engineering Bulletin, 2025
Selected Honors & Awards
• Ross Fellowship, Purdue University, 2023
• Herbold Scholarship, Purdue University, 2023
• Presidential Doctoral Excellence Awards, Purdue University, 2023
• Excellent Masters Dissertation, Chinese Institute of Electronic, 2023
• National Scholarship, China, 2022-2023
Professional Services
Conference Reviewer
• International Conference on Learning Representations (ICLR): 2025 - 2026.
• International Conference on Artificial Intelligence and Statistics (AISTATS): 2025 - 2026.
• The AAAI Conference on Artificial Intelligence (AAAI): 2023 - 2026.
• ACM Web Conference (WWW): 2026.
• International Conference on Web Search and Data Mining (WSDM): 2026.
• ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR): 2023 - 2025.
• ACM International Conference on Information and Knowledge Management (CIKM): 2024 - 2025.
• International Joint Conference on Neural Networks (IJCNN): 2025.
• Table Representation Learning Workshop (TRL): 2024 - 2025.
• International ACM SIGIR Conference on Information Retrieval in the Asia Pacific (SIGIR-AP): 2023 - 2025.
Journal Reviewer
• ACM Computing Surveys (CSUR)
• ACM Transactions on Privacy and Security (TOPS)
• IEEE Transactions on Knowledge and Data Engineering (TKDE)
• ACM Transactions on Recommender Systems (TORS)