Roozbeh Razavi-Far

Domain-adaptive fine-tuning of LLMs can dramatically improve code decompilation and reverse engineering, outperforming existing tools and general-purpose models.

MoEs can achieve both strong malware detection accuracy and more faithful explanations by explicitly routing across diverse graph views learned from different node statistics.