3 papers
cs.SE2025
Secure-Instruct: An Automated Pipeline for Synthesizing Instruction-Tuning Datasets Using LLMs for Secure Code Generation
Junjie Li, Fazle Rabbi, Bo Yang +2
Although Large Language Models (LLMs) show promising solutions to automated code generation, they often produce insecure code that threatens software security. Current approaches (…
cs.SE2024
An Exploratory Study on Fine-Tuning Large Language Models for Secure Code Generation
Junjie Li, Fazle Rabbi, Cheng Cheng +3
AI-powered coding assistants such as GitHub's Copilot and OpenAI's ChatGPT have achieved notable success in automating code generation. However, these tools rely on pre-trained Lar…
cs.SE2021
A Better Approach to Track the Evolution of Static Code Warnings
Junjie Li
Static bug detection tools help developers detect code problems. However, it is known that they remain underutilized due to various reasons. Recent advances to incorporate static b…