Adversarial Image Classification on CIFAR-100 benchmark leaderboard · SOTA2 Research

Adversarial Image Classification on CIFAR-100

58.82Clean AccuracyFGSM-PGI

Evaluation Results

Method	Links
FGSM-PGI2026.04		58.82	39.83	31.22	31.65	31.18	30.89	25.43	27.75	30.93
FGSM-PGI2026.04		58.78	40.02	31.43	31.94	31.3	31.19	25.65	28.23	31.21
LAS-AWP2026.04		58.75	40.66	32.42	32.58	31.91	31.74	27.23	29.59	31.74
LAS-AWP2026.04		58.75	40.66	32.42	32.58	31.91	31.74	27.23	29.59	31.74
FGSM-SDI2026.04		58.64	37.23	28.6	28.78	27.99	27.67	23.27	25.85	27.83
FGSM-SDI2026.04		58.54	37.19	28.53	28.71	28	27.72	23.18	25.55	27.89
DDG2026.04		58.15	41.17	33.7	33.99	33.63	33.51	26.79	28.46	33.48
DDG2026.04		57.98	40.96	34.11	34.42	33.92	33.79	26.54	28.42	33.86
GAT2026.04		57.58	36.85	28.87	29.06	28.43	28.3	23.02	24.97	28.43
GAT2026.04		57.49	36.77	28.91	29.14	28.6	28.3	23.11	25.14	28.42
FGSM-PGK2026.04		57.36	39.61	32.12	32.78	32.35	32.19	25.84	28.4	31.96
FGSM-PGK2026.04		57.36	39.61	32.12	32.78	32.35	32.19	25.84	28.4	31.96
TDAT2026.04		57.32	40.29	33.33	33.56	33.17	33.06	26.61	28.47	33.15
TDAT2026.04		57.32	40.29	33.33	33.56	33.17	33.06	26.61	28.47	33.15
GradAlign2026.04		55.22	35.51	26.82	27.12	26.42	26.24	22.19	24.94	26.52
GradAlign2026.04		54.9	35.28	26.77	27.13	26.52	26.22	22.3	25.01	26.39
MART2026.04		54.75	38.52	31.75	31.85	31.37	31.21	25.71	27.81	31.22
MART2026.04		54.51	38.62	32	32.18	31.68	31.59	26.07	28.01	31.55
N-FGSM2026.04		54.41	35	26.99	27.01	26.55	26.34	22.81	25.08	26.31
N-FGSM2026.04		54.41	35	26.99	27.01	26.55	26.34	22.81	25.08	26.31
FGSM-Free2026.04		52.06	32.13	24.48	24.74	24.09	24.04	20.23	22.43	23.99
FGSM-Free2026.04		52.06	32.13	24.48	24.74	24.09	24.04	20.23	22.43	23.99
FGSM-RS2026.04		51.67	31.02	22.42	22.61	22.04	21.75	18.72	20.92	21.87
FGSM-RS2026.04		51.67	31.02	22.42	22.61	22.04	21.75	18.72	20.92	21.87