Abstract: Deep learning has witnessed pervasive deployment on edge devices over the past decade, especially for computer vision applications. However, its vulnerability to adversarial attacks, where ...
Abstract: Deep learning models are highly susceptible to adversarial attacks, where subtle perturbations in the input images lead to misclassifications. Adversarial examples typically distort specific ...
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