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 ...

Automated vulnerability detection in source code using deep representation learning. In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 757-762). IEEE.

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.