Guangke Chen
Guangke Chen (ι™ˆε…‰η§‘)

Research Assistant Professor at Pengcheng Laboratory

GoogleScholar
researchgate
ORCID
Zhihu
X

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, from ShanghaiTech University (opens new window), and my Bachelor's degree in 2019, from South China University of Technology (opens new window).

Research Interests

  • Security and privacy of machine learning
  • Security and privacy of multimedia

News

  • [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

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

    [paper] (opens new window)

  • 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

    [paper] (opens new window) [code] (opens new window)

  • 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

    [paper] (opens new window)

  • 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

    [paper] (opens new window) [code] (opens new window)

  • 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

    [paper] (opens new window)

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

Awards & Honors