About Me
I am currently a postdoctoral researcher at the School of Cyberspace Security, Huazhong University of Science and Technology (HUST), working under the joint supervision of Prof. Deqing Zou and Prof. Haoyu Wang. I received my Ph.D. in Cyberspace Security from the School of Cyberspace Security, Beijing University of Posts and Telecommunications (BUPT) in June 2025, where I was advised by Prof. Guo’ai Xu. My research interests primarily focus on leveraging AI technologies to address security and privacy issues in software engineering. During my PhD, I have published 3 CCF A papers, which improve Android malware detection by utilizing DNN uncertainty at the data layer (MalCleanse), model training layer (MalTutor), and inference layer (MalCertain). Currently, I am exploring the security challenges of LLMs and how LLMs can be applied to solve security problems.
Education
| Degree | Institution | Major | Duration |
|---|---|---|---|
| Bachelor’s | North China Electric Power University (Beijing), School of Control and Computer Science | Information Security | Sep. 2016 – Jun. 2020 |
| Master’s & PhD (combined) | Beijing University of Posts and Telecommunications, School of Cyberspace Security | Cybersecurity | Sep. 2020 – Jun. 2025 |
Publications
Uncertainty + Android Malware Detection
- Mitigating Emergent Malware Label Noise in DNN-Based Android Malware Detection.
Haodong Li(*), Cheng Xiao(*), Guohan Zhang(&), Guosheng Xu, Guoai Xu, and Haoyu Wang(&).
FSE 2025 MalCleanse - Understanding Model Weaknesses: A Path to Strengthening DNN-Based Android Malware Detection.
Haodong Li, Cheng Xiao(&), Yanjie Zhao, Guosheng Xu, Guoai Xu, and Haoyu Wang(&).
ISSTA 2025 MalTutor - MalCertain: Enhancing Deep Neural Network Based Android Malware Detection by Tackling Prediction Uncertainty.
Haodong Li, Guosheng Xu(&), Liu Wang, Xusheng Xiao, Xiapu Luo, Guoai Xu, and Haoyu Wang(&).
ICSE 2024. MalCertain
LLM + Security and Privacy
Digger: Detecting Copyright Content Mis-usage in Large Language Model Training.
Haodong Li, Gelei Deng, Yi Liu, Kailong Wang, Yuekang Li, Tianwei Zhang, Yang Liu, Guoai Xu, Guosheng Xu, Haoyu Wang.
arXiv DiggerAs If We’ve Met Before: LLMs Exhibit Certainty in Recognizing Seen Files.
Haodong Li, Jingqi Zhang, Xiao Cheng, Peihua Mai, Haoyu Wang, Yang Pan.
arXiv CopyCheck
Honors & Awards
- [2025] Outstanding Doctoral Dissertation Award of BUPT
- [2024] First Class Academic Scholarship for PhD Students, BUPT
Services
- PC Member (Artifact Evaluation Track), S&P 2026.
- PC Member (Artifact Evaluation Track), IEEE ISSRE 2025.
- Reviewer for ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
