CoSec : On-the-Fly security hardening of code LLMs via supervised co-decoding

• Main Authors: LI, Dong, YAN Meng, ZHANG, Yaosheng, LIU, Zhongxin, LIU, Chao, ZHANG, Xiaohong, CHEN, Ting, David LO
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Code generation; Large Language Models; Security hardening; Model training; Artificial Intelligence and Robotics; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/9918
• Institution: Singapore Management University

Large Language Models (LLMs) specialized in code have shown exceptional proficiency across various programming-related tasks, particularly code generation. Nonetheless, due to its nature of pretraining on massive uncritically filtered data, prior studies have shown that code LLMs are prone to genera...