Abstract: Deep learning-based automatic modulation recognition (AMR) models are highly susceptible to adversarial samples. Although adversarial training offers a promising defense, most existing ...
Adversarial training is a crucial technique for enhancing the robustness of deep learning models. Previous studies have shown that adversarial training can alter the frequency bias of deep learning ...
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