Post-Hoc Attention Steering of Large Language Models for Robust Code Understanding under Obfuscation

Code obfuscation is widely used in software systems and malware to conceal program logic and hinder analysis, posing significant challenges for both human developers and automated tools. While large language models (LLMs) have shown strong capabilities in code understanding, their robustness to obfu