FUSE creates full-spectrum unlearnable perturbations using random spectral masking during training and cross-band guidance to enforce consistency between frequency components.
Transferable unlearnable examples
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Catastrophic overfitting in fast adversarial training is reinterpreted as a weak-trigger variant of unlearnable tasks, allowing backdoor-inspired recalibration and outlier suppression to restore robustness.
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Full spectrum Unlearnable Examples via Spectral Equalization
FUSE creates full-spectrum unlearnable perturbations using random spectral masking during training and cross-band guidance to enforce consistency between frequency components.
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Unveiling the Backdoor Mechanism Hidden Behind Catastrophic Overfitting in Fast Adversarial Training
Catastrophic overfitting in fast adversarial training is reinterpreted as a weak-trigger variant of unlearnable tasks, allowing backdoor-inspired recalibration and outlier suppression to restore robustness.