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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          | 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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