Guangke Chen

GoogleScholar

About Me

I am currently an Assistant Professor and Doctoral Supervisor at the Institute for Math & AI and the School of Computer Science, Wuhan University (opens new window). I was a Postdoctoral Researcher at the Stony Brook University (opens new window) (State University of New York at Stony Brook), working with the Empire Innovation Scholar Professor Ting Wang (opens new window), and was a Research Assistant Professor at Pengcheng Laboratory.

I am actively looking for self-motivated Ph.D , Master, and Undergarduate students to join my team. If you are interested, feel free to contact me!

Research Interests

Trustworthy Artificial Intelligence (AI): AI security and privacy; Speech security; AI-generated content (AIGC) Governance; Large language model security

News

  • [2026.01] Invited as PC Member of ArtSec 2026. Welcome to submit your paper!
  • [2025.11] Invited as PC Member of CCS 2026. Welcome to submit your paper!
  • [2025.04] My doctoral dissertation "Security and Privacy of Voiceprint Recognition Systems" was nominated for the 2024 Outstanding Ph.D. Dissertation Award by the Shanghai Computer Society (only 4 nominees in total)
  • [2024.12] 'LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks' accepted by ACNS 2025
  • [2024.11] 'SongBsAb: A Dual Prevention Approach against Singing Voice Conversion based Illegal Song Covers' accepted by NDSS 2025
  • [2024.06] One paper accepted by FM 2024
  • [2024.05] Receiving President's Award & Outstanding Graduate title of both ShanghaiTech and Shanghai
  • [2024.05] Successfully completed my Ph.D. defense. Becoming Dr. Chen now!
  • [2023.11] Awarded with Merit Student in ShanghaiTech
  • [2023.10] Awarded with National Scholarship for Ph.D student (top 2%)
  • [2023.09] 'SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems' accepted by NDSS 2024

Publications

Note:

Big-4 security conferences: IEEE S&P (Oakland), USENIX Security, NDSS, CCS

Top-tier security journals: IEEE TDSC, IEEE TIFS

Patent

Granted

  • A deep learning-based approach for distinguishing abnormal speech | Xiaohui Feng, Guangke Chen, Qianhua He, Xiaolan Wu, Yanxiong Li | ZL 201810417478.2 | 2020.10.27
  • Method and apparatus for monitoring psychological stress with integration of pulse rate variability and sleep quality | Xiaofen Xing, Guangke Chen, Shiyao Jiang, Litao Lin, Donghua Chen | ZL 201711212983.5 | 2020.01.10
  • Adversarial example detection method based on attack cost | Fu Song, Zhe Zhao, Guangke Chen | ZL 202011285900.7 | 2023.12.05
  • Adversarial example detection method based on robustness differences | Fu Song, Zhe Zhao, Guangke Chen | ZL 202011284008.7 | 2024.08.06

Pending

  • Audio adversarial example defense based on speech acoustic feature compression | Fu Song, Guangke Chen, Zhe Zhao | CN114242083A | 2022.03.25

Education

  • ShanghaiTech University (new-type research-oriented university), Shanghai, China, Ph.D
    Sept 2019 - July 2024
  • South China University of Technology, Guangzhou, China, Bachelor's Degree
    Sept 2015 - June 2019

Services

Awards & Honors