Publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. Scaling Behavior in Model Fine-tuning for Audio DeepFake Detection
    Xiang Li, Pin-Yu Chen, and Wenqi Wei
    In Forty-third International Conference on Machine Learning, 2026
  2. Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption
    Xiang Li, Pin-Yu Chen, and Wenqi Wei
    In Proceedings of the Sixteenth ACM Conference on Data and Application Security and Privacy, 2026

2025

  1. Where are we in audio deepfake detection? A systematic analysis over generative and detection models
    Xiang Li, Pin-Yu Chen, and Wenqi Wei
    ACM Transactions on Internet Technology, 2025
  2. Mubox: A critical evaluation framework of deep machine unlearning [systematization of knowledge paper]
    Xiang Li, Wenqi Wei, and Bhavani Thuraisingham
    In Proceedings of the 30th ACM Symposium on Access Control Models and Technologies, 2025
  3. Software Generation With LLMs: Privacy, Utility, and Cybersecurity Tensions
    Wenqi Wei, Xiang Li, and Hüseyin Tanriverdi
    2025

2023

  1. Invisible watermarking for audio generation diffusion models
    Xirong Cao, Xiang Li, Divyesh Jadav, and 4 more authors
    In 2023 5th IEEE international conference on trust, privacy and security in intelligent systems and applications (TPS-ISA), 2023
  2. Label correlation embedding guided network for multi-label ECG arrhythmia diagnosis
    Shaolin Ran, Xiang Li, Beizhen Zhao, and 3 more authors
    Knowledge-Based Systems, 2023