ROSS combines median smoothing with local instability measurement to create a robust OOD detector that outperforms prior methods by up to 40 AUROC points on CIFAR and ImageNet benchmarks while defending symmetrically against score attacks.
The influence curve and its role in robust estimation.Journal of the American Statistical Association
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A Robust Out-of-Distribution Detection Framework via Synergistic Smoothing
ROSS combines median smoothing with local instability measurement to create a robust OOD detector that outperforms prior methods by up to 40 AUROC points on CIFAR and ImageNet benchmarks while defending symmetrically against score attacks.