Publications

• Statement-level Adversarial Attack on Vulnerability Detection Models via Out-Of-Distribution Features
  Xiaohu Du, Ming Wen, Haoyu Wang, Zichao Wei, and Hai Jin
  The 33rd 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
  The 39th 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
  The 62nd 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
  The 31st 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
  The 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE 2023). CCF-A
  [Paper] [Code]

• Word-Level Adversarial Text with Robust Adversarial Training
  Xiaohu Du, Jie Yu, Shasha Li, Zibo Yi, Hai Liu, and Jun Ma
  2021 International Joint Conference on Neural Networks (IJCNN 2021), CCF-C
  [Paper]

• Adversarial Text Attack and Defense: A Review
  Xiaohu Du, Hongming Wu, Zibo Yi, Shasha Li, Jun Ma, and Jie Yu
  Journal of Chinese Information Processing, CCF-B in Chinese
  [Paper]