DUNE creates robust unlearnable examples through dual-branch spatial-color perturbation optimization and ensemble strategies, achieving lower average test accuracies of 14.95% to 50.82% than 12 prior methods against 7 defenses on CIFAR-10 and ImageNet.
S., Soltanolkotabi, M., and Feizi, S
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Dual-branch Robust Unlearnable Examples
DUNE creates robust unlearnable examples through dual-branch spatial-color perturbation optimization and ensemble strategies, achieving lower average test accuracies of 14.95% to 50.82% than 12 prior methods against 7 defenses on CIFAR-10 and ImageNet.