Abstract: Activation functions are fundamental components of deep neural networks, providing the nonlinear transformations that enable complex representation learning and strongly influence model ...
Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...
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