Clean-label backdoor attack and defense: an examination of language model vulnerability

• Main Authors: Zhao, Shuai, Xu, Xiaoyu, Xiao, Luwei, Wen, Jinming, Tuan, Luu Anh
• Other Authors: College of Computing and Data Science
• Format: Article
• Language: English
• Published: 2025
• Subjects: Computer and Information Science; Textual backdoor attack; Large language model
• Online Access: https://hdl.handle.net/10356/182201
• Institution: Nanyang Technological University

Prompt-based learning, a paradigm that creates a bridge between pre-training and fine-tuning stages, has proven to be highly effective concerning various NLP tasks, particularly in few-shot scenarios. However, such a paradigm is not immune to backdoor attacks. Textual backdoor attacks aim at implant...