Image Classification on Tiny-ImageNet (Adversarial Robustness) benchmark leaderboard · SOTA2 Research

Image Classification on Tiny-ImageNet (Adversarial Robustness)

47.86Clean AccuracyLAS-AWP

Evaluation Results

Method	Links
LAS-AWP2026.04		47.86	30.77	23.98	24.1	23.67	23.6	18.21	20.49	23.51
LAS-AWP2026.04		47.86	30.77	23.98	24.1	23.67	23.6	18.21	20.49	23.51
N-FGSM2026.04		46.06	24.72	16.67	16.74	16.21	16.02	12.71	14.96	16.22
N-FGSM2026.04		46.06	24.72	16.67	16.74	16.21	16.02	12.71	14.96	16.22
GAT2026.04		46	23.04	14.96	15.16	14.51	14.33	10.82	13.27	14.38
GAT2026.04		45.57	22.1	14.38	14.56	14.03	13.85	10.26	12.71	13.9
FGSM-SDI2026.04		45.4	24.76	17.15	17.27	16.84	16.73	12.47	14.8	16.97
FGSM-PGI2026.04		45.13	28.11	21.43	21.51	21.19	21.07	14.86	16.86	21.14
Ours2026.04		44.83	29.74	23.4	23.64	23.24	23.07	15.94	17.85	22.95
FGSM-Free2026.04		44.15	25.18	17.81	17.95	17.47	17.31	13.67	15.82	17.32
FGSM-Free2026.04		44.15	25.18	17.81	17.95	17.47	17.31	13.67	15.82	17.32
TDAT2026.04		43.92	29.31	23.06	23.29	22.85	22.74	15.87	17.54	22.5
FGSM-SDI2026.04		43.71	26.84	20.48	20.6	20.26	20.11	15.43	17.16	20.13
FGSM-RS2026.04		43.52	23.93	17.12	17.22	16.82	16.64	13.09	14.67	16.72
FGSM-RS2026.04		43.52	23.93	17.12	17.22	16.82	16.64	13.09	14.67	16.72
Ours2026.04		43.44	29.34	24.3	24.35	24.09	24.06	16.85	18.8	23.85
FGSM-PGI2026.04		42.98	28.55	23.19	23.27	23.01	22.92	17	18.67	22.91
TDAT2026.04		42.51	29.44	23.78	23.98	23.63	23.56	16.64	18.21	23.28
MART2026.04		38.41	25.2	20.91	20.93	20.74	20.67	15.53	16.88	20.77
GradAlign2026.04		38.22	22.85	17.13	17.2	16.86	16.79	12.64	14	16.85
GradAlign2026.04		37.89	22.51	16.95	17.06	16.78	16.69	12.49	13.9	16.68
MART2026.04		36.83	18.02	12.25	12.36	12.01	11.93	9.26	10.36	12.02