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Adversarial examples are one critical security threat to various visual applications, where injected human-imperceptible perturbations can confuse the output.Generating transferable adversarial examples in the black-box setting is crucial but challenging in practice.
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Ian J Goodfellow · 2015
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Diederik Kingma and Jimmy Ba · 2015
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Hongyi Zhang, Moustapha Cisse, Yann N Dauphin, and David Lopez-Paz · 2018
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Weibin Wu, Yuxin Su, Michael R Lyu, and Irwin King · 2021
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On success and simplicity: A second look at transferable targeted attacks
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Feature space perturbations yield more transferable adversarial examples
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Nesterov accelerated gradient and scale invariance for adversarial attacks
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Untargeted adversarial attack via expanding the semantic gap
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Frequency domain model augmentation for adversarial attack
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Adaptive face forgery detection in cross domain
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An adaptive model ensemble adversarial attack for boosting adversarial transferability
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Structure invariant transformation for better adversarial transferability
Xiaosen Wang, Zeliang Zhang, and Jianping Zhang · 2023
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