A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks

arXiv:2403.10646v1 Announce Type: new
Abstract: Machine learning techniques for cybersecurity-related software engineering tasks are becoming increasingly popular. The representation of source code is a key portion of the technique that can impact the way the model is able to learn the features of the source code. With an increasing number of these techniques being developed, it is valuable to see the current state of the field to better understand what exists and what's not there yet. This paper presents a …

abstract arxiv code cs.cr cs.lg cybersecurity engineering features impact key learn machine machine learning machine learning techniques popular representation software software engineering survey tasks the way type