About me

I am currently a second-year Ph.D. student in Computer Science and Technology at South China University of Technology (SCUT), under the supervision of Prof. Ying Gao. My research primarily focuses on AI Security, with a particular emphasis on Federated Learning Security, Multimodal Model Security, and Backdoor Attacks & Defenses.

Education

• Ph.D. in Computer Science and Technology (2022 – Present)
  South China University of Technology (华南理工大学), Guangzhou, China
  Supervisor: Prof. Ying Gao

• B.S. in Information Security (2018 – 2022)
  South China University of Technology (华南理工大学), Guangzhou, China

• High School (2012 – 2018)
  Guangzhou Zhixin High School (广州市执信中学), Guangzhou, China

Honors & Awards

• Youth Talents Support Project Doctoral Student Special Program, 2025
  2025年中国科协青年科技人才培育工程博士生专项计划
• National Graduate Scholarship, 2023
  2023年研究生国家奖学金
• Third Prize, Science and Technology Progress Award of China Blasting Industry Association, 2023
  2023年中国爆破行业协会科学技术进步奖三等奖

Selected Publication

Complete list of publications can be found on Google Scholar.

2025

• “FedID: Enhancing Federated Learning Security Through Dynamic Identification”
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)(JCR Q1, 中科院1区Top, CCF-A)
  Siquan Huang, Yijiang Li, Chong Chen, Ying Gao, Xiping Hu
  [Link to paper]

• “Scope: On Detecting Constrained Backdoor Attacks in Federated Learning”
  IEEE Transactions on Information Forensics and Security (TIFS) (JCR Q1, 中科院1区Top, CCF-A)
  Siquan Huang, Yijiang Li, Xingfu Yan, Ying Gao, Chong Chen, Leyu Shi, Biao Chen, Wing WY Ng
  [Link to paper]

• “FedCleanse: Cleanse the backdoor attacks in federated learning system”
  Knowledge-Based Systems (KBS) (JCR Q1, 中科院1区Top, CCF-C)
  Siquan Huang, Yijiang Li, Chong Chen, Leyu Shi, Wentian Cai, Ying Gao
  [Link to paper]

• “Distributed clustering meets federated learning: a clustering-based approach to data poisoning mitigation”
  Cybersecurity (网络空间安全科学与技术) (JCR Q1, CCF-C)
  Chong Chen*, Siquan Huang, Leyu Shi, Yanhong Li, Ying Gao
  [Link to paper]

2024

• “Differentially Private Federated Clustering Framework in Intelligent Connected Vehicles”
  IEEE Network(JCR Q1)
  Chong Chen, Siquan Huang, Leyu Shi, Ying Gao, Yiqin Lu
  [Link to paper]

• “GN: Guided Noise Eliminating Backdoors in Federated Learning”
  2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)(CCF-C)
  Siquan Huang, Ying Gao, Chong Chen, Leyu Shi
  [Link to paper]

2023

• “Multi-metrics Adaptively Identifies Backdoors in Federated Learning”
  Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023)(CCF-A)
  Siquan Huang, Yijiang Li, Chong Chen, Leyu Shi, Ying Gao
  [Link to paper]