Using these datasets, we developed a fast and scalable vulnerability detection tool based on deep feature representation learning that directly interprets lexed source code. We evaluated our tool on ...

This replication experiment aims to understand how software vulnerability detection is implemented in a deep learning settings using source codes as the input features. An eye opening example that ...

Automated Vulnerability Detection in Source Code Using Deep Representation Learning; SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities. code: Automated software ...

Researchers from Nanjing University, China, and Southern Cross University, Australia, have introduced DLAP, a framework that stands out due to its combination of LLMs, deep learning, and prompt ...

Automated vulnerability research falls short. German university researchers have used machine learning to increase the efficiency of security vulnerabilities discovery in source code.

Automated Vulnerability Detection in Source Code Using Deep Representation Learning Abstract: Each year, software vulnerabilities are discovered, which pose significant risks of exploitation and ...

German university researchers have used machine learning to increase the efficiency of security vulnerabilities discovery in source code. Automated vulnerability research falls short.