Abstract:Adversarial examples have proved efficacious in fooling deep neural networks recently. Many researchers have studied this issue of adversarial examples by evaluating neural networks against their attack techniques and increasing the robustness of neural networks with their defense techniques. To the best of our knowledge, adversarial training is one of the most effective defense techniques against the adversarial examples. However, the method is not able to cope with new attacks because it requires attack tech… Show more
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