On Training a Neural Network to Explain Binaries

arXiv:2404.19631v1 Announce Type: cross
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 …

aid arxiv binary code cs.cr cs.lg cs.se descriptions engineer features input network neural network reverse reverse engineer task training understanding work