Meng Chen

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Zhejiang University
Hangzhou, China

I am currently a third-year PhD student advised by Dr. Li Lu in the College of Computer Science and Technology at Zhejiang University. I also earned my bachelor’s degree from Zhejiang University in 2021.

My research interests lie in AI security with a specific focus on adversarial examples and backdoor learning, especially their practical threats to intelligent audio systems. By “debugging” deep learning, my research seeks to help build trustworthy AI systems in security-critical tasks.

Selected Publications

  1. AdvReverb: Rethinking the Stealthiness of Audio Adversarial Examples to Human Perception
    Meng Chen ,  Li Lu ,  Jiadi Yu ,  Zhongjie Ba ,  Feng Lin ,  and  Kui Ren
    IEEE Trans. Inf. Forensics Secur., 2024
    PDF Website Code
  2. Devil in the Room: Triggering Audio Backdoors in the Physical World
    Meng Chen ,  Xiangyu Xu ,  Li Lu ,  Zhongjie Ba ,  Feng Lin ,  and  Kui Ren
    In Proceedings of USENIX Security , 2024
    PDF Website
  3. VoiceCloak: Adversarial Example Enabled Voice De-Identification with Balanced Privacy and Utility
    Meng Chen ,  Li Lu ,  Junhao Wang ,  Jiadi Yu ,  Yingying Chen ,  Zhibo Wang ,  Zhongjie Ba ,  Feng Lin ,  and  Kui Ren
    Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023
    PDF Blog Website
  4. PhoneyTalker: An Out-of-the-Box Toolkit for Adversarial Example Attack on Speaker Recognition
    Meng Chen ,  Li Lu ,  Zhongjie Ba ,  and  Kui Ren
    In Proceedings of IEEE INFOCOM , 2022
    PDF