On the existence of solutions to adversarial training in multiclass classification

Adversarial training is a min-max optimization problem that is designed to construct robust classifiers against adversarial perturbations of data. We study three models of adversarial training in the multiclass agnostic-classifier setting. We prove the existence of Borel measurable robust classifier...

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Bibliographic Details
Main Authors: Nicolás García Trillos, Matt Jacobs, Jakwang Kim
Format: Article
Language:English
Published: Cambridge University Press
Series:European Journal of Applied Mathematics
Subjects:
Online Access:https://www.cambridge.org/core/product/identifier/S0956792524000822/type/journal_article
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