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Exploring Gaps in DeepFool inSearch of More Effective Adversarial Perturbations
(2021)
Adversarial examples are inputs subtly perturbed to produce a wrong prediction in machine learning models, while remaining perceptually similar to the original input. To find adversarial examples, some attack strategies ...