DAMSE: a dialect-aware multi-strategy ensemble framework for Arabic vishing detection with zero-shot learning
DAMSE is validated on two linguistically distinct datasets and establishes the first zero-shot baselines for vishing detection, introducing dialect-adaptive ensemble weighting that provides a consistent gain over uniform fusion, and releasing the first comprehensive multi-dialect Arabic vishing dataset with structured...