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cs.LG2026
Explainability-Guided Defense: Attribution-Aware Model Refinement Against Adversarial Data Attacks
Longwei Wang, Mohammad Navid Nayyem, Abdullah Al Rakin +3
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 adver…
cs.LG2025
Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
Longwei Wang, Ifrat Ikhtear Uddin, KC Santosh +3
Adversarial examples reveal critical vulnerabilities in deep neural networks by exploiting their sensitivity to imperceptible input perturbations. While adversarial training remain…