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Intro

I'm a 4th year Ph.D. student in the 6G Research Center at Huazhong University of Science and Technology, advised by Prof. Tao Jiang. I am also very fortunate work as a long-term interning student in FIB Lab at the Tsinghua University, collaborated with Prof. Yong Li, Dr. Huandong Wang and Dr. Chen Gao. Before that, I received my B.S. degree in the School of Electronics and Information Engineering from Beijing Jiaotong University (BJTU) in 2021, and won the National Encouragement Scholarship.

My research interest includes following topics:
  • Privacy Attack & Evaluation: Membership Inference Attack and Data Extraction Attack
  • Privacy Defense & Mitigation: Differential Privacy, Unlearning and Federated Learning
  • Generative AI: Large Language Model, Generative Model and AutoEncoder
  • Mobile Data Mining: Spatiotemporal Applications, Graph Learning, and Deep Learning in Healthcare


  • Recent Preprints

    (*: equal contribution)


    Aug 2024
    concept
    MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector

    Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li and Tao Jiang

    arXiv 2024
    Paper Code BibTeX

    Aug 2023
    concept
    A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models

    Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li and Tao Jiang

    arXiv 2023
    Paper Code BibTeX


    Publications


    Sep 2024
    concept
    Membership Inference Attacks against Large Language Models via Self-prompt Calibration

    Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li and Tao Jiang

    NeurIPS 2024 CCF-A CORE A* THCPL A
    Paper Code BibTeX

    Jan 2024
    concept
    Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning

    Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li and Tao Jiang

    ACM Transactions on Information Systems CCF-A SCI Q1 THCPL A
    Paper Code BibTeX