Yuntao Du (杜云滔)


I am a PhD student in computer science at Purdue University, fortunately advised by Prof. Ninghui Li. Here is my CV (until Sep 17, 2023).

I’m interested in Differential Privacy and Privacy in Machine Learning, especially on the privacy issues of generative models:

  • (Differentially Private) Data Synthesis: privacy metrics (arXiv), data synthesis (VLDB23).
  • Membership Inference Attack on Diffusion Models.

I have been very fortunate to work with Prof. Yunjun Gao at Zhejiang University , with Prof. Zhikun Zhang at Stanford University , with Dr. Jianxun Lian and Dr. Xing Xie at Microsoft Research Asia .


Apr 13, 2023 One paper is accepted by SIGIR on robust knowledge-aware recommendation!
Mar 31, 2023 I graduated from Zhejiang University with highest honers. Thanks and best wishes to all the people I met at ZJU!
Mar 18, 2023 One paper is accepted by VLDB on local differential privacy!

Latest Posts

Selected Publications

  1. VLDB23_LDPTrace.jpg
    LDPTrace: Locally Differentially Private Trajectory Synthesis
    Yuntao Du, Yujia Hu, Zhikun Zhang, and 4 more authors
    Proc. VLDB Endow., 2023
  2. WWW23-ECF.jpg
    Towards Explainable Collaborative Filtering with Taste Clusters Learning
    Yuntao DuJianxun Lian, Jing Yao, and 5 more authors
    In Proceedings of the ACM Web Conference, 2023
  3. SIGIR22_HAKG.jpg
    HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
    Yuntao Du, Xinjun Zhu, Lu Chen, and 2 more authors
    In The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022