Research Assistant Professor at Pengcheng Laboratory
About Me
I am currently a Research Assistant Professor at Pengcheng Laboratory (PCL) (opens new window).
I obtained my Doctoral degree (with honor) in July, 2024, under the supervision of Prof. Fu Song (opens new window), from ShanghaiTech University (opens new window),
and my Bachelor's degree in June, 2019, from South China University of Technology (opens new window).
Research Interests
Trustworthy Artificial Intelligence (AI): AI Security; AI Privacy; AI Misuse Prevention; AI-Generated Content Governance
News
- [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
- [2024.07] Begining working as Research Assistant Professor at Pengcheng Laboratory
- [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
First Author
SongBsAb: A Dual Prevention Approach against Singing Voice Conversion based Illegal Song Covers
NDSS 2025, CCF-A
Guangke Chen, Yedi Zhang, Fu Song, Ting Wang, Xiaoning Du, Yang Liu
LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks
ACNS 2025, CCF-C
Yongjie Xu#, Guangke Chen#, Fu Song, Yuqi Chen #: co-first authors & equal contribution
SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems
NDSS 2024, CCF-A
Guangke Chen, Yedi Zhang, and Fu Song
[paper] (opens new window) [code] (opens new window) [slide]
QFA2SR: Query-Free Adversarial Transfer Attacks to Speaker Recognition Systems
USENIX Security 2023, CCF-A
Guangke Chen, Yedi Zhang, Zhe Zhao, and Fu Song
[paper] (opens new window) [website] (opens new window) [slide] [talk] (opens new window) [press] (opens new window)
π₯ π₯ highly effective against commercial APIs and voice assistants
π vulnerability disclosure received bounty award from vendor
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition
IEEE Transactions on Dependable and Secure Computing (TDSC), CCF-A, IF=7.3
Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, Feng Wang, and Jiashui Wang
[paper] (opens new window) [code] (opens new window) [website] (opens new window) [slide]
AS2T: Arbitrary source-to-target adversarial attack on speaker recognition systems
IEEE Transactions on Dependable and Secure Computing (TDSC), CCF-A, IF=7.3
Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, and Yang Liu
SEC4SR: A Security Analysis Platform for Speaker Recognition
Preprint
Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, and Yang Liu
[paper] (opens new window) [code] (opens new window) [website] (opens new window)
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems
Oakland 2021, CCF-A, AR:115/952=12%
Guangke Chen, Sen Chen, Lingling Fan, Xiaoning Du, Zhe Zhao, Fu Song, and Yang Liu
[paper] (opens new window) [website] (opens new window) [code] (opens new window) [slide] [talk] (opens new window) [blog] (opens new window) [press-1] (opens new window) [press-2] (opens new window) [press-3] (opens new window)
π₯ π₯ π citations > 240
Co-authored
Certified Quantization Strategy Synthesis for Neural Networks
FM 2024, CCF-A
Yedi Zhang, Guangke Chen, Fu Song, Jun Sun and Jin Song Dong
Attack as Detection: Using Adversarial Attack Methods to Detect Abnormal Examples
ACM Transactions on Software Engineering and Methodology (TOSEM, CCF-A)
Zhe Zhao, Guangke Chen, Tong Liu, Taishan Li, Fu Song, Jingyi Wang, and Jun Sun
Precise Quantitative Analysis of Binarized Neural Networks: A BDD-based Approach
ACM Transactions on Software Engineering and Methodology (TOSEM, CCF-A)
Yedi Zhang, Zhe Zhao, Guangke Chen, Fu Song, and Taolue Chen
QVIP: An ILP-based Formal Verification Approach for Quantized Neural Networks
ASE 2022, CCF-A
Yedi Zhang, Zhe Zhao, Guangke Chen, Fu Song, Min Zhang, Taulue Chen, and Jun Sun
CLEVEREST: Accelerating CEGAR-based Neural Network Verification via Adversarial Attacks
SAS 2022, CCF-B
Zhe Zhao, Yedi Zhang, Guangke Chen, Fu Song, Taolue Chen and Jiaxiang Liu
Attack as Defense: Characterizing Adversarial Examples using Robustness
ISSTA 2021, CCF-A, AR=51/219=23%
Zhe Zhao, Guangke Chen, Jingyi Wang, Yiwei Yang, Fu Song, and Jun Sun
BDD4BNN: A BDD-based Quantitative Analysis Framework for Binarized Neural Networks
CAV 2021, CCF-A, AR=79/290=27%
Yedi Zhang, Zhe Zhao, Guangke Chen, Fu Song, and Taolue Chen
Patent
Granted
- A deep learning-based approach for distinguishing abnormal speech | Xiaohui Feng, Guangke Chen, Qianhua He, Xiaolan Wu, Yanxiong Li | CN108766419B | 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 | CN107874750B | 2020.01.10
- Adversarial example detection method based on attack cost | Fu Song, Zhe Zhao, Guangke Chen | CN112381152A | 2021.02.19
Pending
- Adversarial example detection method based on robustness differences | Fu Song, Zhe Zhao, Guangke Chen | CN112381150A | 2021.02.19
- Audio adversarial example defense based on speech acoustic feature compression | Fu Song, Guangke Chen, Zhe Zhao | CN114242083A | 2022.03.25
Education
- ShanghaiTech University, Shanghai, China, Ph.D
Sept 2019 - July 2024 (GPA: 3.91/4.0) - South China University of Technology, Guangzhou, China, Bachelor's Degree
Sept 2015 - June 2019 (GPA: 3.77/4.0)
Working Experiences
- Pengcheng Laboratory (PCL), Shenzhen, China, Research Assistant Professor
July 2024 - Present
Services
- Program Committee Member:
- Artifact Evaluation Committee Member:
- Session Chair:
- Invited Reviewer:
- the 25th ISCA INTERSPEECH Conference (InterSpeech 2024)
- IEEE Transactions on Information Forensics & Security (TIFS)
- Springer Cybersecurity
- ACM Transactions on Privacy and Security
- the 24th ISCA INTERSPEECH Conference (InterSpeech 2023)
- IEEE Transactions on Dependable and Secure Computing (TDSC)
- the 34th IEEE International Symposium on Software Reliability Engineering (ISSRE 2023)
- the 21st International Symposium on Automated Technology for Verification and Analysis (ATVA 2023)
- the 33rd IEEE International Symposium on Software Reliability Engineering (ISSRE 2022)
- External Reviewer:
- the 34th International Symposium on Software Testing and Analysis (ISSTA 2025)
- Journal of Software (Chinese)
- IEEE Transactions on Reliability (TR)
- the 33rd International Symposium on Software Testing and Analysis (ISSTA 2024)
- Teaching Assistant
- CS240 Algorithm Design and Analysis, ShanghaiTech University, 2020-2021, Spring Semester
Awards & Honors
- Outstanding Graduate of Shanghai, 2024.05
- President's Award of ShanghaiTech (12 in total; only 5 Ph.D.), 2024.05
- Outstanding Graduate of ShanghaiTech University, 2024.05
- NDSS 2024 Student Travel Grant ($2,479 USD), 2024.01
- National Scholarship for Ph.D student (top 2%), 2023.10, @ShanghaiTech (opens new window)
- Merit Student, 2023.11, @ShanghaiTech (opens new window)
- International Ph.D. Training Program Overseas Visiting Scholarship, 2023.05, @ShanghaiTech (opens new window)
- Merit Student, 2022.12, @ShanghaiTech (opens new window)
- National Scholarship for Master Student, 2020.11.20, @ShanghaiTech (opens new window)
- Merit Student, 2020.12.01, @ShanghaiTech (opens new window)
- National Scholarship, Merit Student, 2018.10, @SCUT (opens new window)
- Outstanding conclusion of national College Studentsβ Innovation and Entrepreneurship Training Program, project leader, 2019.05, @SCUT (opens new window)
- National Encouragement scholarship, Merit Student, 2017.10, @SCUT (opens new window)
- Enterprise Scholarships, Merit Student, 2016.10, @SCUT (opens new window)