SPADE (Sample-efficient Probabilistic Detection)

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Abstaining classifier that declines to predict when its probabilistic estimate is not confident enough.

Findings

• IC-028SPADE, an abstaining classifier built on top of ResNet, ViT, and VGG models, detects out-of-distribution and adversarial samples with provable guarantees. [primary]