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Adversarial Defense on CIFAR-10 (test)

93.62Standard Accuracy

Wang et al. (2022) + SSNI-L

Updated 1mo ago

Evaluation Results

Method	Links
Wang et al. (2022) + SSNI-L 2025.06		93.62	79.95
Lee & Kim (2023) + SSNI-L 2025.06		93.49	88.41
Nie et al. (2022) + SSNI-L 2025.06		92.97	80.08
Wang et al. (2022) 2025.06		92.45	79.88
Lee & Kim (2023) 2025.06		90.1	88.4
Nie et al. (2022) 2025.06		89.71	81.9