On the hardness of robust classification
It is becoming increasingly important to understand the vulnerability of machine learning models to adversarial attacks. In this paper we study the feasibility of adversarially robust learning from the perspective of computational learning theory, considering both sample and computational complexity...
| Główni autorzy: | , , , |
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| Format: | Journal article |
| Język: | English |
| Wydane: |
Journal of Machine Learning Research
2021
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