AINeutralarXiv – CS AI · 5h ago6/10
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Dissociating spatial frequency reliance from adversarial robustness advantages in neurally guided deep convolutional neural networks
Researchers challenge the assumption that neural alignment improves adversarial robustness in deep learning models by reducing reliance on high-frequency image details. Their experiments reveal that spatial-frequency bias is likely a byproduct rather than the primary mechanism, suggesting robustness improvements stem from learning human-like visual representations through more complex means.