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 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
Jun 2, 2025 | We present a new privacy threat to online pseudonymity with Language Model Agents. |
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Selected Publications
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Cascading and Proxy Membership Inference AttacksarXiv preprint, 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.
• International Conference on Artificial Intelligence and Statistics (AISTATS): 2025.
• International Joint Conference on Neural Networks (IJCNN): 2025.
• The AAAI Conference on Artificial Intelligence (AAAI): 2023 - 2025.
• Table Representation Learning Workshop (TRL): 2024 - 2025.
• 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 ACM SIGIR Conference on Information Retrieval in the Asia Pacific (SIGIR-AP): 2023 - 2025.
Journal Reviewer
• ACM Transactions on Privacy and Security (TOPS)
• IEEE Transactions on Knowledge and Data Engineering (TKDE)
• ACM Transactions on Recommender Systems (TORS)
Subreviewer
• ACM Conference on Data and Application Security and Privacy (CODASPY): 2024
• International Conference on Neural Information Processing (ICONIP): 2023.