Explainability-Guided Defense: Attribution-Aware Model Refinement Against Adversarial Data Attacks
The growing reliance on deep learning models in safety-critical domains such as healthcare and autonomous navigation underscores the need for defenses that are both robust to adversarial perturbations and transparent in their decision-making. In this paper, we identify a connection between interpretability and robustness that can be...