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This study investigates the capabilities of Large Language Models (LLMs), specifically GPT-4, in the context of Binary Reverse Engineering (RE).
“Automating reverse engineering with machine learning techniques”
Blake Anderson, Curtis Storlie, Micah Yates and Aaron McPhall · 2014
Earlier work this paper cites.
“Can malware analysts be assisted in their work using techniques from machine learning?”
Igor Novkovic and Stjepan Groš · 2016
Earlier work this paper cites.
In Programiz.com , 2019
Programiz · 2019
Earlier work this paper cites.
“IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis”
Hossein Hajipour, Mateusz Malinowski and Mario Fritz · 2021
Earlier work this paper cites.
“Automatic generation of programming exercises and code explanations using large language models”
Sami Sarsa, Paul Denny, Arto Hellas and Juho Leinonen · 2022
Earlier work this paper cites.
“Pop Quiz! Can a Large Language Model Help With Reverse Engineering?”
Hammond Pearce et al · 2022
Earlier work this paper cites.
“Natural Language Processing (NLP) - A Complete Guide”
DeepLearning.AI · 2023
Cited alongside, same era.
“Refining Decompiled C Code with Large Language Models”
Wai Wong et al · 2023
Cited alongside, same era.
“On the Feasibility of Training an AI to Understand Programs: FY23 Cyber Security Line-Supported Program”, 2023
Andrew Davis, Alexander Interrante-Grant, Heather Preslier and Timothy Leek · 2023
Cited alongside, same era.
“Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie”
Ali Al-Kaswan et al · 2023
Cited alongside, same era.
In GitHub , 2023
2023
Cited alongside, same era.
In openai.com
OpenAI
Cited in the paper.
“Sok: Explainable machine learning for computer security applications”
Azqa Nadeem et al · 2023
Later among the works it cites.
“Instruction tuning with gpt-4”
Baolin Peng et al · 2023
Later among the works it cites.
In Google , 2023
2023
Later among the works it cites.
“Phase1”
Saman Pordanesh · 2023
Later among the works it cites.
“GitHub”
GitHub · 2023
Later among the works it cites.
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“GPT-3.5”
OpenAI
Cited in the paper.
“Llama 2”
Meta
Cited in the paper.
In crfm.stanford.edu
stanford
Cited in the paper.
In ghidra-sre.org
Ghidra
Cited in the paper.
In GitHub
RetDec
Cited in the paper.
In Google Cloud
GoogleCloud
Cited in the paper.