Adversarially Robust Generalization Requires More Data
© 2018 Curran Associates Inc..All rights reserved. Machine learning models are often susceptible to adversarial perturbations of their inputs. Even small perturbations can cause state-of-the-art classifiers with high "standard" accuracy to produce an incorrect prediction with high confiden...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2021-11-08T18:36:03Z.
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| Subjects: | |
| Online Access: | Get fulltext |