Adversarial Robustness Evaluation on CIFAR-10-LT benchmark leaderboard · SOTA2 Research

Adversarial Robustness Evaluation on CIFAR-10-LT

81.92Clean AccuracyAT-BSL

Evaluation Results

Method	Links
AT-BSL2025.03		81.92	54.52	49.03	43.66	45.78	—
AT-BSL2025.03		80.68	52.74	46.05	38.93	44.19	—
REAT2025.03		79.72	41.25	33.39	17.5	31.85	—
AT-BSL2025.03		78.3	45.4	37.96	27.99	36.4	—
AT2025.03		77.96	44.98	37.7	24.41	36.09	—
AT-BSL2025.03		77.74	43.56	36.53	22.77	34.99	—
AT-BSL2025.03		77.74	43.56	36.53	22.77	34.99	—
HE2025.03		77.61	46.18	38.73	22.3	37.26	—
TAET2025.03		77.57	47.66	41.69	55.51	39.9	—
TAET2025.03		77.53	51.2	46.98	39.2	44.62	—
Plain2021.04		77.16	7.01	0	0	0	0
ADT2025.03		76.98	46.18	39.42	18.78	38.1	—
TAET2025.03		76.31	44.37	38.17	53.61	37.1	—
TAET2025.03		76.31	45.1	40.8	62.21	39.24	—
LAS-AT2025.03		76.02	44.16	38.27	51.73	36.15	—
TRADES2025.03		75.66	39.17	32.71	40.76	31.83	—
RoBal-N2021.04		75.52	40.04	33.5	33.68	31.72	34.57
RoBal-R2021.04		74.51	40.55	33.87	34.12	32.04	34.92
TAET2025.03		74.09	51.98	49.95	66.71	47.78	—
GAIRAT2025.03		71.49	41.77	36.87	54.6	33.79	—
MART2025.03		69.8	44.45	39.66	34.31	38.24	—
AVmixup2021.04		66.97	33.9	28.4	26.43	24.39	29.67
AT2021.04		62.33	33.57	29.3	30.31	28.15	30.02
MMA2021.04		61.51	36.4	29.29	29.59	25.91	30.38
HE2021.04		58.47	35.17	31.73	29.96	28.45	32.26
TRADES2021.04		54.29	32.8	30.2	29.58	28.94	30.53