ViT-EnsembleAttack augments each ViT surrogate with three randomized strategies, tunes their parameters by Bayesian optimization, and ensembles them to substantially improve adversarial transferability.
Evading defenses to transferable adversarial examples by translation-invariant attacks
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ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers
ViT-EnsembleAttack augments each ViT surrogate with three randomized strategies, tunes their parameters by Bayesian optimization, and ensembles them to substantially improve adversarial transferability.