A recent trend in binary code analysis promotes the use of neural solutions based on
instruction embedding models. An instruction embedding model is a neural network that …

In this article we propose the first multi-task benchmark for evaluating the performances of
machine learning models that work on low level assembly functions. While the use of multi …

Building a model to reassign descriptive names for binary functions is considerable
assistance for reverse engineering. Existing methods proposed for this issue are based on …

Conducting binary function naming helps reverse engineers understand the internal
workings of the code and perform malicious code analysis without accessing the source …

A binary program is an executable file obtained by compiling the source code. In order to
reduce the size of software or prevent reverse engineering, software publishers usually only …

Code analysis is a key topic for improving software quality and efficiency. This analysis
becomes even more important for securing code against potential cyber-attacks. However …

Executable binaries are made up of functional components interacting with each other and
the operating system they run on. When high-level source code is compiled into executable …