Adversarial Robustness Accuracy on SVHN (FGSM, PGD, BIM, APGD, Jitter) benchmark leaderboard · SOTA2 Research

Adversarial Robustness Accuracy on SVHN (FGSM, PGD, BIM, APGD, Jitter)

71.06Robustness Acc (FGSM, ε=8/255)Zubov-Net

Evaluation Results

Method	Links
Zubov-Net2025.09		71.06	69.49	72.83	72.58	92.06	89.36	72.26	71.75	67.38	63.95	74.27
FxTS-Net2025.09		66.1	61.35	72.23	72.07	90.22	82.48	72.15	71.64	63.53	58.09	71.01
LyaNet2025.09		65.26	60.84	72.76	72.23	84.45	70.39	71.65	71.14	61.19	53.48	68.34
Proj-NODE2025.09		65.04	60.21	72.17	71.87	82.88	68.09	71.47	71.17	59.57	51.59	67.4
SODEF2025.09		64.09	59.25	71.8	71.47	83.33	69.74	70.58	70.17	60.86	53.11	67.44
Neural ODE2025.09		63.86	57.93	70.48	70.05	82.84	67.55	69.38	69.08	59.17	51.02	66.14
ResNet182025.09		62.96	57.23	69.87	69.56	82.76	67.26	69.01	68.56	58.41	50.48	65.61