Metadata-Driven Business Email Compromise Detection Under Adversarial Evasion: Robustness Analysis and Adaptive Recovery
Business Email Compromise (BEC) exploits organisational trust, impersonation, and metadata manipulation to evade detection systems. Although machine learning models can achieve high accuracy in email security tasks, their robustness against adaptive adversaries remains underexplored. This paper presents a unified robus...