Prevalence of simplex compression in adversarial deep neural networks

Proceedings of the National Academy of Sciences, Volume 122, Issue 17, April 2025.
SignificanceDespite the widespread success of neural networks, their susceptibility to adversarial examples remains a significant challenge. Adversarial training (AT) has emerged as an effective approach to enhance the robustness of neural networks. The …
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