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The robustness testing has been performed for standard CNN models and VisionTransformers, however there is a lack of comprehensive study between therobustness of traditional Vision Transformers without an extra attentionalchannel design and the latest fully attentional network(FAN) models. So in thispaper, we use the ImageNet dataset to compare the robustness of fullyattentional network(FAN) models with traditional Vision Transformers tounderstand the role of an attentional channel processing design using white boxattacks and also study the transferability between the same using black boxattacks.

Is Attentional Channel Processing Design Required? Comprehensive Analysis Of Robustness Between Vision Transformers And Fully Attentional Networks