DeepVulSeeker: A Novel Vulnerability Identification Framework via Code Graph Structure and Pre-training Mechanism. (arXiv:2211.13097v1 [cs.CR])

Software vulnerabilities can pose severe harms to a computing system. They
can lead to system crash, privacy leakage, or even physical damage. Correctly
identifying vulnerabilities among enormous software codes in a timely manner is
so far the essential prerequisite to patch them. Unfortantely, the current
vulnerability identification methods, either the classic ones or the
deep-learning-based ones, have several critical drawbacks, making them unable
to meet the present-day demands put forward by the software industry. To
overcome the drawbacks, in this …

code framework identification novel training vulnerability