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magic_liu
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Meta_Adv_Task
image classification computer vision 0

TRAIN_I_TEST_II I = ["clean", "FGSM", "MI_FGSM_L_infinity", "BIM_L_infinity", "PGD_L_infinity","CW_L2","jsma", "SPSA","VAT", "max_confidence"] II = ["clean", "EAD", "semantic","spatial_transform", "deep_fool_L2", "newton_fool"] index: "clean"1, "FGSM"2, "MI_FGSM_L_infinity"3, "BIM_L_infinity"4, "PGD_L_infinity"5, "SPSA"6, "CW_L2"7, "deep_fool_L2"8, "newton_fool"9, "jsma"10, "EAD"11 , "spatial_transform"12, "VAT"13, "max_confidence"14, "semantic"15

Updated 1 year ago

swin_model
image classification computer vision 1

wind solution resume 300epoch

Updated 1 year ago

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