Neural Transfer Learning for Repairing Security Vulnerabilities in C Code. (arXiv:2104.08308v3 [cs.SE] UPDATED)

In this paper, we address the problem of automatic repair of software
vulnerabilities with deep learning. The major problem with data-driven
vulnerability repair is that the few existing datasets of known confirmed
vulnerabilities consist of only a few thousand examples. However, training a
deep learning model often requires hundreds of thousands of examples. In this
work, we leverage the intuition that the bug fixing task and the vulnerability
fixing task are related and that the knowledge learned from bug fixes …

code se security vulnerabilities