Using these datasets, we developed a fast and scalable vulnerability detection tool based ... Our results demonstrate that deep feature representation learning on source code is a promising approach ...

The results are as below (30 epochs unless stated): This replication experiment aims to understand how software vulnerability detection is implemented in a deep learning settings using source codes as ...

Automated vulnerability detection (AVD) is an emerging research field aiming to automatically detect security vulnerabilities in software without human intervention. Compared to previous ...

was an alternative to automated vulnerability detection that aimed to improve the more powerful manual inspection of source code. It identified unknown vulnerabilities using programming patterns ...

Using these datasets, we developed a fast and scalable vulnerability detection tool based ... Our results demonstrate that deep feature representation learning on source code is a promising approach ...