Publications

* equal contribution, † mentored student

AI Security & Privacy

  1. ACL
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    Automated Profile Inference with Language Model Agents
    Yuntao Du, Zitao Li, Bolin Ding, Yaliang Li, Hanshen Xiao, Jingren Zhou, and Ninghui Li
    In Findings of the Association for Computational Linguistics (ACL), 2026
    arXiv Code
  2. Data Eng. Bulletin
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    Beyond Data Privacy: New Privacy Risks for Large Language Models
    Yuntao Du, Zitao Li, Ninghui Li, and Bolin Ding
    IEEE Data Engineering Bulletin, 2025
    arXiv

Data Privacy

  1. Manuscript
    Privacy Leakage from a Thousand Words: Sub-Pixel Location Recovery from Dot Maps
    Yuntao Du*, Tanishq Praveen Pauskar*†, Hao Wang, Jing Su, and Ninghui Li
    2025
    Manuscript
  2. Manuscript
    On the Security of Dataset Membership Inference Protocols against Malicious Data Owners
    Patrick Li†, Yuntao Du, and Neil Gong
    2025
    Manuscript
  3. ICLR
    Membership Inference Attacks Against Fine-tuned Diffusion-Based Language Models
    Yuetian Chen, Kaiyuan Zhang, Yuntao Du, Edoardo Stoppa, Charles Fleming, Ashish Kundu, Bruno Ribeiro, and Ninghui Li
    In International Conference on Learning Representations (ICLR), 2026
    arXiv
  4. USENIX Security
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    Imitative Membership Inference Attack
    Yuntao Du, Yuetian Chen, Hanshen Xiao, Bruno Ribeiro, and Ninghui Li
    In USENIX Security Symposium (USENIX Security), 2026
    arXiv Blog Code
  5. USENIX Security
    Window-based Membership Inference Attacks Against Fine-tuned Large Language Models
    Yuetian Chen, Yuntao Du, Kaiyuan Zhang, Ashish Kundu, Charles Fleming, Bruno Ribeiro, and Ninghui Li
    In USENIX Security Symposium (USENIX Security), 2026
    arXiv Code
  6. USENIX Security
    Membership Inference Attacks on Tokenizers of Large Language Models
    Meng Tong*†, Yuntao Du*, Kejiang Chen, Weiming Zhang, and Ninghui Li
    In USENIX Security Symposium (USENIX Security), 2026
    arXiv Code
  7. NDSS
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    Cascading and Proxy Membership Inference Attacks
    Yuntao Du, Jiacheng Li, Yuetian Chen, Kaiyuan Zhang, Zhizhen Yuan, Hanshen Xiao, Bruno Ribeiro, and Ninghui Li
    In Network and Distributed System Security Symposium (NDSS), 2026
    arXiv Blog Code
  8. CCS
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    Systematic Assessment of Tabular Data Synthesis
    Yuntao Du, and Ninghui Li
    In ACM Conference on Computer and Communications Security (CCS), 2025
    arXiv Blog Code
  9. USENIX Security
    SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
    Kaiyuan Zhang, Siyuan Cheng, Hanxi Guo, Yuetian Chen, Zian Su, Shengwei An, Yuntao Du, Charles Fleming, Ashish Kundu, Xiangyu Zhang, and Ninghui Li
    In USENIX Security Symposium (USENIX Security), 2025
  10. ICDE
    Real-Time Trajectory Synthesis with Local Differential Privacy
    Yujia Hu†, Yuntao Du, Zhikun Zhang, Ziquan Fang, Lu Chen, Kai Zheng, and Yunjun Gao
    In IEEE International Conference on Data Engineering, 2024
    arXiv Code
  11. VLDB
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    LDPTrace: Locally Differentially Private Trajectory Synthesis
    Yuntao Du, Yujia Hu†, Zhikun Zhang, Ziquan Fang, Lu Chen, Baihua Zheng, and Yunjun Gao
    Proc. VLDB Endow., 2023
    arXiv Blog Code
  12. ICDE
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    FLBooster: A Unified and Efficient Platform for Federated Learning Acceleration
    Zhihao Zeng†, Yuntao Du, Ziquan Fang, Lu Chen, Shiliang Pu, Guodong Chen, Hui Wang, and Yunjun Gao
    In IEEE International Conference on Data Engineering, 2023
    PDF

Recommender Systems

  1. SIGIR
    Knowledge-refined Denoising Network for Robust Recommendation
    Xinjun Zhu†, Yuntao Du, Lu Chen, Baihua Zheng, and Yunjun Gao
    In International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
    arXiv Code
  2. WWW
    Towards Explainable Collaborative Filtering with Taste Clusters Learning
    Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, and Xing Xie
    In Proceedings of the ACM Web Conference, 2023
    arXiv Code
  3. SIGIR
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    HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
    Yuntao Du, Xinjun Zhu†, Lu Chen, Baihua Zheng, and Yunjun Gao
    In International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
    arXiv Code
  4. SIGIR
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    Self-Guided Learning to Denoise for Robust Recommendation
    Yunjun Gao, Yuntao Du, Yujia Hu, Lu Chen, Xinjun Zhu, Ziquan Fang, and Baihua Zheng
    In International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
    arXiv Code
  5. TKDE
    MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation
    Yuntao Du, Xinjun Zhu†, Lu Chen, Ziquan Fang, and Yunjun Gao
    IEEE Transactions on Knowledge and Data Engineering, 2023
    arXiv Code

Spatio-temporal Data Mining

  1. SIGKDD
    Spatio-Temporal Trajectory Similarity Learning in Road Networks
    Ziquan Fang, Yuntao Du, Xinjun Zhu, Danlei Hu, Lu Chen, Yunjun Gao, and Christian S. Jensen
    In ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, 2022
    arXiv Code
  2. ICDE
    E2DTC: An End to End Deep Trajectory Clustering Framework via Self-Training
    Ziquan Fang, Yuntao Du, Lu Chen, Yujia Hu, Yunjun Gao, and Gang Chen
    In IEEE International Conference on Data Engineering, 2021
    PDF Code
  3. VLDB
    MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data
    Ziquan Fang, Lu Pan, Lu Chen, Yuntao Du, and Yunjun Gao
    Proc. VLDB Endow., 2021
    PDF