نسخة أولية وصول مفتوح
Transferable Adversarial Robustness for Speech Foundation Models via Hierarchical Stabilization
Frozen speech foundation models (SFMs) make downstream adaptation efficient: the backbone can stay fixed while a task learns layer fusion and a lightweight classifier. Full adversarial fine-tuning is a standard route to robustness, but generating adversarial examples and updating the backbone for every task sacrifices …