Developing Hands-on Labs for Source Code Vulnerability Detection with AI. (arXiv:2302.00750v1 [cs.CR])

As the role of information and communication technologies gradually increases
in our lives, source code security becomes a significant issue to protect
against malicious attempts Furthermore with the advent of data-driven
techniques, there is now a growing interest in leveraging machine learning and
natural language processing as a source code assurance method to build
trustworthy systems Therefore training our future software developers to write
secure source code is in high demand In this thesis we propose a framework
including learning …

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