Guangke Chen
Guangke Chen (ι™ˆε…‰η§‘)

Ph.D Student at ShanghaiTech University

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About Me

I am currently a fourth-year Ph.D student in ShanghaiTech University (2019.09-today), majoring in Computer Science. I am a member of System and Software Security Lab (S3L) and advised by Prof. Fu Song, the PI of S3L.

I received my Bachelor's degree (2015.09-2019.06, major: Information Engineering) in South China University of Technology, Guangzhou. πŸ’«

Research Interests

[Research Summary]

  • Security and privacy of machine learning (e.g., voiceprint recognition and speech recognition)
  • Security and privacy of multimedia (e.g., speech)

News

  • [2022.9.23] Happy and honor to become part of the Artifact Evaluation Committee of Usenix Security'23 and help to promote better reproducibility in Security research. πŸ˜„
  • [2022.9.7] I chaired the Session 8 of ICICS 2022. Quite an interesting experience. πŸ˜„
  • [2022.8] Our paper 'Precise Quantitative Analysis of Binarized Neural Networks: A BDD-based Approach' accepted by TOSEM.
  • [2022.7] Our paper 'QVIP: An ILP-based Formal Verification Approach for Quantized Neural Networks' accepted by ASE 2022.
  • [2022.7] Our paper 'ACROBAT: Accelerating CEGAR-based Neural Network Verification via Adversarial Attacks' accepted by SAS 2022.
  • [2022.7] Our paper 'AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems' accepted by IEEE Transactions on Dependable and Secure Computing (TDSC)
  • [2021.9] I serve as Technical Program Committee Member of ICICS 2022. It is a CCF-C venue, welcome to submit your paper! πŸ˜„
  • [2021.4] Our paper 'Attack as Defense: Characterizing Adversarial Examples using Robustness' accepted by ISSTA 2021. Congratulations to Zhe Zhao.
  • [2021.4] Our paper 'BDD4BNN: A BDD-based Quantitative Analysis Framework for Binarized Neural Networks' accepted by CAV 2021. Congratulations to Yedi Zhang.
  • [2021.3] I serve as Technical Program Committee Member of ICICS 2021. It is a CCF-C venue, welcome to submit your paper! πŸ˜„
  • [2020.11] I am awarded with National Scholarship for Post Graduates in ShanghaiTech.
  • [2020.11] I am awarded with Merit Student in ShanghaiTech.
  • [2020.4] Our paper 'Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems' accepted by S&P 2021. Note: first author.
  • More

Publications

  • Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition

    Under minor revision of TDSC

    Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, Feng Wang, and Jiashui Wang

    [paper] [code] [website]

  • 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

  • ACROBAT: 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

  • AS2T: Arbitrary source-to-target adversarial attack on speaker recognition systems

    IEEE Transactions on Dependable and Secure Computing (TDSC), CCF-A, IF=6.791

    Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, and Yang Liu

    [paper] [blog]

  • Turn Lemons into Lemonade: Using Adversarial Attack Methods to Detect Abnormal Examples

    Under major revision of TDSC

    Zhe Zhao, Guangke Chen, Tong Liu, Taishan Li, Fu Song, Jingyi Wang, and Jun Sun

  • SEC4SR: A Security Analysis Platform for Speaker Recognition

    Preprint

    Guangke Chen, Zhe Zhao, Fu Song, Sen Chen, Lingling Fan, and Yang Liu

    [paper] [code] [website]

  • 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] [website] [code] [slide] [talk] [blog] [press-1] [press-2] [press-3]

  • 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] [code]

  • 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]

  • Detail and More

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

Pending

  • Adversarial example detection method based on robustness differences | Fu Song, Zhe Zhao, Guangke Chen | CN112381150A | 2021.02.19
  • Adversarial example detection method based on attack cost | Fu Song, Zhe Zhao, Guangke Chen | CN112381152A | 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, Ph.D Student
    Sept 2019 - Now (GPA: 3.91/4.0)
  • South China University of Technology, Guangzhou, Bachelor's Degree
    Sept 2015 - June 2019 (GPA: 3.77/4.0)

Services

Awards & Honors

  • National Scholarship for Post Graduates, 2020.11.20, @ShanghaiTech
  • Merit Student, 2020.12.01, @ShanghaiTech
  • National Scholarship, Merit Student, 2018.10, @SCUT
  • Outstanding conclusion of national College Students’ Innovation and Entrepreneurship Training Program, project leader, 2019.05, @SCUT
  • National Encouragement scholarship, Merit Student, 2017.10, @SCUT
  • Enterprise Scholarships, Merit Student, 2016.10, @SCUT