Abstract: Deep Neural Networks (DNNs) have recently made significant strides in various fields; however, they are susceptible to adversarial examples—crafted inputs with imperceptible perturbations ...
Abstract: This study aims to enhance the robustness of neural networks against adversarial examples by introducing a novel approach called weighted local response normalization into a recently ...
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