Exploring the Efficacy of Large Language Models (GPT-4) in Binary
Reverse Engineering
Exploring the Efficacy of Large Language Models (GPT-4) in Binary
Reverse Engineering
This study investigates the capabilities of Large Language Models (LLMs), specifically GPT-4, in the context of Binary Reverse Engineering (RE). Employing a structured experimental approach, we analyzed the LLM's performance in interpreting and explaining human-written and decompiled codes. The research encompassed two phases: the first on basic code interpretation and …