Adaptive Compression and Targeted Perturbation: A Unified Framework for Generalized Audio Deepfake Detection

Existing audio deepfake detection (ADD) methods frequently exhibit limited generalization, as fixed bottleneck architectures fail to adapt to the heterogeneous information densities inherent in diverse spoofing artifacts. Moreover, standard augmentation often leads to a pathological robustness-accur