2 papers
cs.CL2024
Enhancing Source Code Classification Effectiveness via Prompt Learning Incorporating Knowledge Features
Yong Ma, Senlin Luo, Yu-Ming Shang +2
Researchers have investigated the potential of leveraging pre-trained language models, such as CodeBERT, to enhance source code-related tasks. Previous methodologies have relied on…
cs.CR2024
VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction
Abdulrahman Hamman Adama Chukkol, Senlin Luo, Kashif Sharif +2
Binary program vulnerability detection is critical for software security, yet existing deep learning approaches often rely on source code analysis, limiting their ability to detect…