VUDENC: vulnerability detection with deep learning on a natural codebase for Python

L Wartschinski, Y Noller, T Vogel, T Kehrer… - Information and …, 2022 - Elsevier
Context: Identifying potential vulnerable code is important to improve the security of our
software systems. However, the manual detection of software vulnerabilities requires expert …
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[PDF] researchgate.net

[PDF][PDF] VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python

L Wartschinskia, Y Nollera, T Vogela, T Kehrera… - 2021 - researchgate.net
Context: Identifying potential vulnerable code is important to improve the security of our
software systems. However, the manual detection of software vulnerabilities requires expert …

VUDENC:: Vulnerability Detection with Deep Learning on a Natural Codebase for Python

L Wartschinski, Y Noller, T Vogel, T Kehrer, L Grunske - 2022 - dl.acm.org
Context: Identifying potential vulnerable code is important to improve the security of our
software systems. However, the manual detection of software vulnerabilities requires expert …

VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python

L Wartschinski, Y Noller, T Vogel, T Kehrer… - arXiv preprint arXiv …, 2022 - arxiv.org
Context: Identifying potential vulnerable code is important to improve the security of our
software systems. However, the manual detection of software vulnerabilities requires expert …

VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python

L Wartschinski, Y Noller, T Vogel, T Kehrer… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Context: Identifying potential vulnerable code is important to improve the security of our
software systems. However, the manual detection of software vulnerabilities requires expert …