Two new black-box adversarial attacks, one affine-search and one genetic, are benchmarked on four architectures and three datasets, with the genetic attack inducing higher fooling rates while augmentation benefits are inconsistent.
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IGAff: Benchmarking Adversarial Iterative and Genetic Affine Algorithms on Deep Neural Networks
Two new black-box adversarial attacks, one affine-search and one genetic, are benchmarked on four architectures and three datasets, with the genetic attack inducing higher fooling rates while augmentation benefits are inconsistent.