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cs.SE2026
Leveraging Large Language Models to Obscure Code Stylometry: A Comparative Study of GPT-3.5 and GPT-4
Saman Pordanesh, Benjamin Tan
In the rapidly evolving field of software development, code stylometry analyzing unique stylistic signatures of programmers plays a crit-ical role in authorship attribution and cyb…
cs.SE2024
Exploring the Efficacy of Large Language Models (GPT-4) in Binary Reverse Engineering
Saman Pordanesh, Benjamin Tan
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…