Attack success rates (%) of adversarial attacks against twelve models. <sup>*</sup> indicates the white-box attacks.

Attack success rates (%) of adversarial attacks against twelve models. <sup>*</sup> indicates the white-box attacks.

<p>Attack success rates (%) of adversarial attacks against twelve models. <sup>*</sup> indicates the white-box attacks.</p>

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Bibliographic Details
Main Author:	Chen Lin (95910) (author)
Other Authors:	Sheng Long (14795824) (author)
Published:	2025
Subjects:	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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Summary:	<p>Attack success rates (%) of adversarial attacks against twelve models. <sup>*</sup> indicates the white-box attacks.</p>

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