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Towards Building More Robust Models with Frequency Bias
2023 · arXiv (Cornell University)
The vulnerability of deep neural networks to adversarial samples has been a major impediment to their broad applications, despite their success in various fields. Recently, some works suggested that adversarially-trained models emphasize the importance of …