Adversarial Robustness Accuracy on Mini-ImageNet (test) benchmark leaderboard · SOTA2 Research

Adversarial Robustness Accuracy on Mini-ImageNet (test)

76.37Clean AccuracyNatural Training

Evaluation Results

Method	Links
Natural Training2026.06		76.37	13.4	3.39	2.03	1.19	1.07
MAPE2026.06		74.86	63.62	54.42	55.89	53.53	51.29
Mixup Inference2026.06		73.81	42.73	37.7	35.48	32.45	29.98
LDT2026.06		73.76	55.32	46.77	46.87	44.8	41.58
HGD2026.06		72.41	51.72	40.81	38.77	35.78	33.38
Pixel Deflection2026.06		67.28	41.04	35.88	34.71	34.37	33.67
TVM2026.06		66.17	50.85	45.62	46.78	40.49	39.48
Feature Denoising2026.06		59	21.45	12.17	11.52	11.39	10.57
Adversarial Training2026.06		58.39	32.27	29.22	29.42	29.87	29.04