On Training a Neural Network to Explain Binaries

arXiv:2404.19631v1 Announce Type: new
Abstract: In this work, we begin to investigate the possibility of training a deep neural network on the task of binary code understanding. Specifically, the network would take, as input, features derived directly from binaries and output English descriptions of functionality to aid a reverse engineer in investigating the capabilities of a piece of closed-source software, be it malicious or benign. Given recent success in applying large language models (generative AI) to the task of source …

abstract arxiv binary code code understanding cs.cr cs.lg cs.se deep neural network engineer english features network neural network possibility training type understanding work