Machine Learning Methods for Improving Vulnerability Detection in Low-level Code

This paper presents a machine learning (ML) approach to improving vulnerability detection in low-level code. It uses ML classification algorithms in conjunction with novel node-embedding techniques to predict the shortest path between two nodes of a control flow graph.