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Adversarial attacks can exploit input-adaptive optimizations in Vision Transformers, undermining their efficiency without sacrificing accuracy.
Adversarial attacks can degrade the efficiency of Vision Transformers, but MOAT ensures that performance remains nearly intact, limiting GFLOPs loss to just 3.4%.