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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3222531
Abstract: Deep neural networks can be fooled by small imperceptible perturbations called adversarial examples. Although these examples are carefully crafted, they involve two major concerns. In some cases, adversarial examples generated are much larger than minimal…
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Keywords:
adversarial examples;
feature;
adversarial attack;
feature maps ... See more keywords