The Dominant Role of Fine-Tuning and Adaptive Ratios in the Robustness of Pruned Neural Networks

While pruning criteria are important, fine-tuning, especially with adaptive pruning ratios based on adversarial sensitivity, plays a more significant role in achieving both accuracy and robustness in compressed neural networks.