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.
Marsden, and Bin Yang
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.