Context: Programmers' mental models represent their knowledge and understanding of
programs, programming concepts, and programming in general. They guide programmers' …

Binary code summarization, while invaluable for understanding code semantics, is
challenging due to its labor-intensive nature. This study delves into the potential of large …

Attributing a piece of malware to its creator typically requires threat intelligence. Binary
attribution increases the level of difficulty as it mostly relies upon the ability to disassemble …

Binary reverse engineering is used to understand and analyse programs for which the
source code is unavailable. Decompilers can help, transforming opaque binaries into a …

Malware detection plays a crucial role in cyber-security with the increase in malware growth
and advancements in cyber-attacks. Previously unseen malware which is not determined by …

Malware family classification is a significant issue with public safety and research
implications that has been hindered by the high cost of expert labels. The vast majority of …

Malware analysis aims to understand how malicious software carries out actions necessary
for a successful attack and identify the possible impacts of the attack. While there has been …

Recent works within machine learning have been tackling inputs of ever increasing size,
with cyber security presenting sequence classification problems of particularly extreme …

We address the problem of reverse engineering of stripped executables, which contain no
debug information. This is a challenging problem because of the low amount of syntactic …

Large Language Models (LLMs) have been suggested for use in automated vulnerability
repair, but benchmarks showing they can consistently identify security-related bugs are …