Image Classification Robustness on CIFAR-10 (test) (FGSM, PGD, C&W, AA) benchmark leaderboard · SOTA2 Research

Image Classification Robustness on CIFAR-10 (test) (FGSM, PGD, C&W, AA)

86.39Clean AccuracySAAD-C

Evaluation Results

Method	Links
SAAD-C2025.12		86.39	60.55	51.91	52.06	49.72
IGDM2025.12		85.67	58.14	48.58	46.98	44.76
SAAD-C2025.12		85.54	61.92	53.18	52.05	50.14
SAAD-C2025.12		85.16	60.53	52.72	51.26	49.34
AdaAD2025.12		85.07	57.54	47.16	46.06	44.55
AdaAD2025.12		85.04	53.85	44.65	44.9	43.27
SAAD-C2025.12		84.81	58.17	51.09	50.45	48.08
IGDM2025.12		84.75	58.38	47.56	46.43	44.94
ARD2025.12		84.63	56.57	44.48	43.44	41.66
AKD2025.12		84.62	56.29	44.42	43.43	41.79
IAD2025.12		84.43	56.64	44.82	43.47	41.8
AdaAD2025.12		84.42	56.38	46.16	44.99	43.01
ARD2025.12		84.39	52.47	42.18	42.22	40.79
AdaAD2025.12		84.37	54.4	44.4	44.59	41.95
AKD2025.12		84.32	52.13	42.38	42.44	40.95
RSLAD2025.12		84.28	57.2	47.17	46.07	44.42
IAD2025.12		84.28	52.25	42.16	42.19	40.7
PGD-AT2025.12		84.27	52.1	42.34	42.29	40.85
SAAD2025.12		84.27	61.44	53.39	52.39	50.34
PGD-AT2025.12		84.27	52.1	42.34	42.29	40.85
IGDM2025.12		84.13	57.93	48.7	47.43	44.83
IGDM2025.12		84.07	57.31	47.39	45.43	43.57
IAD2025.12		83.85	55.69	44.98	43.62	41.35
RSLAD2025.12		83.83	51.59	42.03	42.22	40.57
SAAD2025.12		83.69	59.74	52.89	52.36	50.35
ARD2025.12		83.66	55.09	44.71	43.49	41.24
IAD2025.12		83.63	54.81	44.73	44.19	41.51
ARD2025.12		83.62	54.62	44.6	44.18	41.47
AKD2025.12		83.6	55.13	44.31	43.29	41.03
AKD2025.12		83.54	54.79	44.83	44.19	41.55
PGD-AT2025.12		83.52	54.92	44.9	44.29	41.54
PGD-AT2025.12		83.52	54.92	44.9	44.29	41.54
RSLAD2025.12		83.41	54.6	45.01	44.41	41.78
RSLAD2025.12		83.22	55.54	46.09	44.8	42.56
TRADES2025.12		82.7	57.14	48.81	48.08	46.46
TRADES2025.12		82.7	57.14	48.81	48.08	46.46
SAAD2025.12		82.04	59.48	53.69	51.68	49.88
TRADES2025.12		81.79	56.5	49.9	47.54	46.5
TRADES2025.12		81.79	56.5	49.9	47.54	46.5
SAAD2025.12		80.6	56.85	51.78	50.25	48.29