Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability
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Recent studies have shown that Deep Neural Networks (DNNs) are susceptible to adversarial attacks, with frequency-domain analysis underscoring the significance of high-frequency components in influencing model predictions. Conversely, targeting low-frequency c... ...
