Multi-target backdoor attacks for code pre-trained models

• Main Authors: LI, Yanzhou, LIU, Shangqing, CHEN, Kangjie, XIE, Xiaofei, ZHANG, Tianwei, LIU, Yang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Backdoors; Code understanding; Codegeneration; Deployment phasis; Down-stream; Learning strategy; Multi-targets; Neural code; Databases and Information Systems; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/8541; https://ink.library.smu.edu.sg/context/sis_research/article/9544/viewcontent/Multi_target_Backdoor_Attacks_for_Code_Pre_trained_Models.pdf
• Institution: Singapore Management University

Backdoor attacks for neural code models have gained considerable attention due to the advancement of code intelligence. However, most existing works insert triggers into task-specific data for code-related downstream tasks, thereby limiting the scope of attacks. Moreover, the majority of attacks for...