Adversarial Attack Against Deep Saliency Models Powered by Non-Redundant Priors

This study introduces a novel adversarial attack method for deep saliency models, reducing computational cost and improving perceptibility. The new approach enhances the robustness evaluation of AI systems in security applications like autonomous driving.