Logarithm of loss and attack success rates (%) of Diff-AdaNAG, Diff-PGD, and PGD on various numbers of iterations.

Logarithm of loss and attack success rates (%) of Diff-AdaNAG, Diff-PGD, and PGD on various numbers of iterations.

<p>The adversarial examples are generated on ResNet-18 (a), ResNet-34 (b), ResNet-50 (c), and VGG11 (d). The x-axis represents the number of iterations, and the y-axis represents the attack success rates and the logarithm of loss.</p>

Gorde:

Xehetasun bibliografikoak
Egile nagusia:	Chen Lin (95910) (author)
Beste egile batzuk:	Sheng Long (14795824) (author)
Argitaratua:	2025
Gaiak:	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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