Comparison of SI-NI-FGSM and SI+Ours.

<p>(a) Attack success rates of different model combinations with increasing steps, attacks are launched from ResNet-18 and transferred to four target models: ResNet-18 (white-box), ResNet-34, ResNet-50, and ResNet-101 (black-box settings); (b) Attack success rates of different models, the sour...

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書誌詳細
第一著者:	Chen Lin (95910) (author)
その他の著者:	Sheng Long (14795824) (author)
出版事項:	2025
主題:	Neuroscience Biological Sciences not elsewhere classified Information Systems not elsewhere classified two crucial metrics nesterov &# 8217 natural data distribution introduces nesterov ’ goals often conflict generation process toward extensive experiments demonstrate deep neural networks achieving stealthy attacks imperceptible perturbations tend evaluating adversarial attacks div >< p diffusion mechanism guides imperceptible adversarial examples imperceptible perturbations adversarial attacks box attacks strong acceleration size strategy perform poorly novel framework mislead models highly vulnerable generalization capabilities art methods adding subtle adaptive step accelerated gradient
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その他の書誌記述
要約:	<p>(a) Attack success rates of different model combinations with increasing steps, attacks are launched from ResNet-18 and transferred to four target models: ResNet-18 (white-box), ResNet-34, ResNet-50, and ResNet-101 (black-box settings); (b) Attack success rates of different models, the source model is ResNet-18.</p>

Comparison of SI-NI-FGSM and SI+Ours.

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