Exploring the Efficacy of Large Language Models (GPT-4) in Binary Reverse Engineering

9 June 2024

Papers citing "Exploring the Efficacy of Large Language Models (GPT-4) in Binary Reverse Engineering"

5 / 5 papers shown

Title
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering Hamed Jelodar Samita Bai Parisa Hamedi Hesamodin Mohammadian R. Razavi-Far Ali Ghorbani 34 0 0 07 Apr 2025
MaLAware: Automating the Comprehension of Malicious Software Behaviours using Large Language Models (LLMs) Bikash Saha Nanda Rani Sandeep K. Shukla 36 0 0 01 Apr 2025
Large Language Models (LLMs) for Source Code Analysis: applications, models and datasets Hamed Jelodar Mohammad Meymani Roozbeh Razavi-Far 40 0 0 21 Mar 2025
Instruction Tuning with GPT-4 Baolin Peng Chunyuan Li Pengcheng He Michel Galley Jianfeng Gao SyDa ALM LM&MA 157 580 0 06 Apr 2023
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries Ali Al-Kaswan Toufique Ahmed M. Izadi A. Sawant Prem Devanbu A. van Deursen SyDa 96 32 0 04 Jan 2023