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Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach

Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach

20 January 2025
Nicolas Atienza
Christophe Labreuche
Johanne Cohen
Michele Sebag
    OODD
    AAML
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Papers citing "Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach"

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