Reusing incorrectly predicted samples from one victim class can collapse continual test-time adaptation models that use random augmentation, using only black-box label feedback.
Unsupervised do- main adaptation by backpropagation
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R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation
Reusing incorrectly predicted samples from one victim class can collapse continual test-time adaptation models that use random augmentation, using only black-box label feedback.