Kaifeng Huang - 黄凯锋
Kaifeng Huang is an Assistant Professor (tenure-track) at School of Software Engineering, Tongji Unversity. Prior to that, he was a research fellow at Software Engineering Lab, Fudan University. He obtained his PhD from Fudan University in 2022, supervised by Prof. Xin Peng and Prof. Bihuan Chen.
His research interests focus on open source software supply chain, software security and software evolution. He serves in the reviewer panels and program committees of IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, Journal of Systems & Software, ASE 2024, ISSRE 2024, ICSE AE 2023, etc. He was the awardee of the ACM SIGSOFT Distinguished Paper Award at ASE 2018 and IEEE TCSE Distinguished Paper Award at ICSME 2020.
Research Interests
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Software&AI Supply Chain. Software and AI systems are inherently complex. Achieving a clear assessment of security, maintenance, and legal risks in the software and AI supply chain, along with developing effective mitigation strategies, remains a significant challenge. Our mission is to simplify this process by providing comprehensive evaluations and actionable solutions that enhance security and compliance throughout the lifecycle of software and AI systems.
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Software Security. The software system is vulnerable to security issues. We are interested in but not limited to topics such as software vulnerability detection/assessment/mitigation, malicious software/AIWare/LLMWare detection, and privacy protection. Our goal is to identify potential security risks and prevent the leakage of sensitive privacy information (e.g., LLM privacy).
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Software Evolution. The software evolves constantly, leading to issues like version fragmentation, API incompatibility, API deprecation, and merge conflict. Our goal is to assess the challenges this evolution presents to downstream software and provide automated techniques to alleviate these issues.
Highlights
VMUD: Detecting Recurring Vulnerabilities with Multiple Fixing Functions via Function Selection and Semantic Equivalent Statement Matching. Kaifeng Huang, Chenhao Lu, Yiheng Cao, Bihuan Chen, Xin Peng. In Proceedings of the 31th ACM Conference on Computer and Communications Security, Salt Lake City, United States, accepted, 2024.
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Vision: Identifying Affected Library Versions for Open Source Software Vulnerabilities.
Susheng Wu, Ruisi Wang, Kaifeng Huang, Yiheng Cao, Wenyan Song, Zhuotong Zhou, Yiheng Huang, Bihuan Chen, Xin Peng.
In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, Sacramento, California, United States, pp. 1447-1459, 2024.
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Identifying Affected Libraries and Their Ecosystems for Open Source Software Vulnerabilities. Susheng Wu, Wenyan Song, Kaifeng Huang, Bihuan Chen, Xin Pen. In Proceedings of the 46th
IEEE/ACM International Conference on Software Engineering (ICSE), Lisbon, Portugal, pp. 162: 1-12, 2024.
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