Abstract: Deep neural networks (DNNs) have achieved satisfactory performance in multiple fields. However, recent studies have shown that DNNs can be easily fooled by adversarial examples. To mitigate ...
Abstract: Neural network performance heavily depends on the architecture chosen for specific tasks, such as binary classification. Rather than relying on conventional ...
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