AIBearisharXiv – CS AI · Jun 237/10
🧠
Leveraging Large Language Models to Obscure Code Stylometry: A Comparative Study of GPT-3.5 and GPT-4
Researchers demonstrate that Large Language Models like GPT-3.5 and GPT-4 can effectively obscure programmer code stylometry while maintaining functionality, challenging the reliability of authorship attribution techniques used in cybersecurity. The study reveals that structured, multi-shot prompting strategies outperform single-shot approaches in evading detection by traditional machine learning classifiers.
🧠 GPT-4
