Crafting Adversarial Perturbations via Transformed Image Component Swapping
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DOI: 10.1109/tip.2022.3204206
Abstract: Adversarial attacks have been demonstrated to fool the deep classification networks. There are two key characteristics of these attacks: firstly, these perturbations are mostly additive noises carefully crafted from the deep neural network itself. Secondly,… read more here.
Keywords: proposed attack; image components; attack; adversarial perturbations ... See more keywords