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A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers

Pattern Recognition(2022)

Cited 24|Views95
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Abstract
•Presents a simple and efficient black-box adversarial attack strategy.•The adversarial perturbation can be dense or sparse.•Both universal and image dependent adversarial attack can be performed.•Employs a simple variant of Differential Evolution capable of optimizing the high dimensional problem under concern.
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Key words
Adversarial attack,Black-box attack,Convolutional image classifier,Differential evolution,Sparse universal attack
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