Publications

2026

  1. NDSS
    NDSS26_CPMIA.png
    Cascading and Proxy Membership Inference Attacks
    Yuntao Du, Jiacheng Li, Yuetian Chen, Kaiyuan Zhang, Zhizhen Yuan, Hanshen Xiao, Bruno Ribeiro, and Ninghui Li
    In The Network and Distributed System Security (NDSS) Symposium, 2026
    arXiv Code

2025

  1. CCS
    CCS25_SynMeter.png
    Systematic Assessment of Tabular Data Synthesis
    Yuntao Du, and Ninghui Li
    In ACM Conference on Computer and Communications Security (CCS), 2025
    arXiv Code
  2. IMIA.png
    Imitative Membership Inference Attack
    Yuntao Du, Yuetian Chen, Hanshen Xiao, Bruno Ribeiro, and Ninghui Li
    arXiv preprint, 2025
    arXiv Code
  3. AutoProfiler.png
    Automated Profile Inference with Language Model Agents
    Yuntao Du, Zitao Li, Bolin Ding, Yaliang Li, Hanshen Xiao, Jingren Zhou, and Ninghui Li
    arXiv preprint, 2025
    arXiv Code
  4. 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
  5. 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
    arXiv preprint, 2025
  6. Membership Inference Attacks on Tokenizers of Large Language Models
    Meng Tong, Yuntao Du, Kejiang Chen, Weiming Zhang, and Ninghui Li
    arXiv preprint, 2025
  7. 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
    arXiv preprint, 2025

2024

  1. 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

2023

  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. TKDE
    Finding Materialized Models for Model Reuse
    Minjun Zhao, Lu Chen, Keyu Yang, Yuntao Du, and Yunjun Gao
    IEEE Transactions on Knowledge and Data Engineering, 2023
    arXiv
  3. VLDB
    VLDB23_LDPTrace.jpg
    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
  4. 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
  5. ICDE
    WWW23-ECF.jpg
    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

2022

  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. SIGIR
    SIGIR22_HAKG.jpg
    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
  3. SIGIR
    SIGIR22_SGDL.png
    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
  4. 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, 2022
    arXiv Code

2021

  1. 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
  2. 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