HiDD-Net: a hierarchical dual-domain distillation network for efficient deepfake detection
HiDD-Net is proposed, a hierarchical dual-domain distillation framework that combines a teacher network that integrates multi-granularity spatial views via a cross-attention mechanism to explicitly align fine-grained anomalies with global context, and a compact student model that achieves a competitive cross-dataset average AUC.