Open access
Jul 2026
Cross-model evaluation of phishing detectors against LLM-generated emails
This work reframes cross-model phishing detection from a problem of model incompatibility to one of practical calibration, and provides two deployable solutions, threshold recalibration on a small target slice and aggregated-pool training, along with a publicly released multi-LLM corpus.
Rommel Gutierrez, W. Villegas-Ch., Jaime Govea
· Frontiers in Big Data · 0 citations