Currently, I am a fourth-year Ph.D. student at Huazhong University of Science and Technology (HUST), supervised by Assoc.Prof. Ming Wen. Prior to that, I obtained my MA.Eng degree in 2021 from National University of Defense Technology, majoring in Software Engineering under the supervision of Prof. Jie Yu.

My research interests encompass LLM security and LLM applications. Specifically, I investigate adversarial attacks and jailbreaking attacks within the realm of LLM security. Additionally, I apply LLMs to enhance code vulnerability detection, aiming to improve the robustness and effectiveness of security measures in software systems.

If you are interesting in working with me, always feel free to contact me through email or Wechat.

Selected Publications

For a full list, please refer to publications or Google Scholar.

• Statement-level Adversarial Attack on Vulnerability Detection Models via Out-Of-Distribution Features
  Xiaohu Du, Ming Wen, Haoyu Wang, Zichao Wei, and Hai Jin
  ACM International Conference on the Foundations of Software Engineering (FSE 2025), CCF-A
  [Paper]
• Multi-Turn Jailbreaking Large Language Models via Attention Shifting
  Xiaohu Du, Fan Mo, Ming Wen, Tu Gu, Huadi Zheng, Hai Jin, and Jie Shi
  AAAI Conference on Artificial Intelligence (AAAI 2025), CCF-A
  [Paper]
• Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning
  Xiaohu Du, Ming Wen, Jiahao Zhu, Zifan Xie, Bin Ji, Huijun Liu, Xuanhua Shi, and Hai Jin
  Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings)
  [Paper] [Code]
• An Extensive Study on Adversarial Attack against Pre-trained Models of Code
  Xiaohu Du, Ming Wen, Zichao Wei, Shangwen Wang, and Hai Jin
  ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE 2023), CCF-A
  [Paper] [Code]
• Understanding the Bug Characteristics and Fix Strategies of Federated Learning Systems
  Xiaohu Du, Xiao Chen, Jialun Cao, Ming Wen, Shing-Chi Cheung, and Hai Jin
  ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE 2023), CCF-A
  [Paper] [Code]

Work Experience

• 2024.06 - 2024.12, Research Intern, Shield Lab (Shenzhen), Huawei 2012 Laboratory

Services

Conference Reviewer (PC Member):

• ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025)
• International Conference on Learning Representations (ICLR 2025)
• International Conference on Computational Linguistics (COLING 2025)
• International Conference on Mining Software Repositories (MSR 2025)
• International Joint Conference on Neural Networks (IJCNN 2025)
• International Conference on High Performance Computing and Communications (HPCC 2022/2024)

Journal Reviewer:

• ACM Transactions on Asian and Low-Resource Language Information Processing
• Information and Software Technology

I also served as a co-reviewer for multiple top-tier conferences and journals (e.g., FSE, ASE, ISSTA, TSE).

Awards

• Merit Postgraduate, HUST, 2023
• First-class Scholarship for Doctoral Students, HUST, 2021-2023
• Third Prize of Zhixing Scholarship, HUST, 2023