Adversarial vulnerability bounds for Gaussian process classification

DOI10.1007/s10994-022-06224-6arXiv1909.08864WikidataQ114224925 ScholiaQ114224925MaRDI QIDQ6106443

Mauricio A. Alvarez, Michael Backes, Michael Thomas Smith, Kathrin Grosse

Publication date: 27 June 2023

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1909.08864

zbMATH Keywords

classificationGaussian processboundmachine learningadversarial exampleGaussian process classification

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Unnamed Item
• Safety verification of deep neural networks
• A continuation approach to mode-finding of multivariate Gaussian mixtures and kernel density estimates

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