VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python. (arXiv:2201.08441v1 [cs.CR])

Context: Identifying potential vulnerable code is important to improve the
security of our software systems. However, the manual detection of software
vulnerabilities requires expert knowledge and is time-consuming, and must be
supported by automated techniques. Objective: Such automated vulnerability
detection techniques should achieve a high accuracy, point developers directly
to the vulnerable code fragments, scale to real-world software, generalize
across the boundaries of a specific software project, and require no or only
moderate setup or configuration effort. Method: In this …

deep learning detection python vulnerability vulnerability detection