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 …

Most existing pre-trained language models for source code focus on learning the static code
text, typically augmented with static code structures (abstract syntax tree, dependency …

Decompilation aims to recover a binary executable to the source code form and hence has a
wide range of applications in cyber security, such as malware analysis and legacy code …

Large Language Models (LLMs) have shown promise in automated program reasoning, a
crucial aspect of many security tasks. However, existing LLM architectures for code are often …

The evolution of recent malware, characterized by the escalating use of cloaking techniques,
poses a significant challenge in the analysis of malware behaviors. Researchers proposed …

Language model approaches have recently been integrated into binary analysis tasks, such
as function similarity detection and function signature recovery. These models typically …

Software permeates every facet of our lives, improving their convenience and efficiency, and
its sphere of influence continues to expand, leading to novel applications and services …