publications

Please see my full publication list at google scholar or dblp.

2024

  1. Security
    Quantifying Privacy Risks of Prompts in Visual Prompt Learning
    Wu, Yixin,  Wen, Rui, Backes, Michael, Berrang, Pascal, Humbert, Mathias, Shen, Yun, and Zhang, Yang
    In USENIX Security Symposium (USENIX Security) 2024

2023

  1. ICLR
    Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
    Wen, Rui, Zhao, Zhengyu, Liu, Zhuoran, Backes, Michael, Wang, Tianhao, and Zhang, Yang
    In International Conference on Learning Representations (ICLR) 2023
  2. arXiv
    Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning
    Wen, Rui, Wang, Tianhao, Backes, Michael, Zhang, Yang, and Salem, Ahmed
    CoRR abs/2310.11397 2023

2022

  1. Security
    ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
    Liu, Yugeng*,  Wen, Rui*, He, Xinlei, Salem, Ahmed, Zhang, Zhikun, Backes, Michael, Cristofaro, Emiliano De, Fritz, Mario, and Zhang, Yang (* Equal Contribution)
    In USENIX Security Symposium (USENIX Security) 2022
  2. Euro S&P
    Dynamic Backdoor Attacks Against Machine Learning Models
    Salem, Ahmed*,  Wen, Rui*, Backes, Michael, Ma, Shiqing, and Zhang, Yang (* Equal Contribution)
    In IEEE European Symposium on Security and Privacy (Euro S&P) 2022

2021

  1. arXiv
    Node-Level Membership Inference Attacks Against Graph Neural Networks
    He, Xinlei,  Wen, Rui, Wu, Yixin, Backes, Michael, Shen, Yun, and Zhang, Yang
    CoRR abs/2102.05429 2021

2020

  1. CCS
    LEAF: A Faster Secure Search Algorithm via Localization, Extraction, and Reconstruction
    Wen, Rui, Yu, Yu, Xie, Xiang, and Zhang, Yang
    In ACM SIGSAC Conference on Computer and Communications Security (CCS) 2020