Adversarial Examples as an Input-Fault Tolerance Problem
Autor: | Galloway, Angus, Golubeva, Anna, Taylor, Graham W. |
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Rok vydání: | 2018 |
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Druh dokumentu: | Working Paper |
Popis: | We analyze the adversarial examples problem in terms of a model's fault tolerance with respect to its input. Whereas previous work focuses on arbitrarily strict threat models, i.e., $\epsilon$-perturbations, we consider arbitrary valid inputs and propose an information-based characteristic for evaluating tolerance to diverse input faults. Comment: NIPS 2018 Workshop on Security and Machine Learning. Source available at https://github.com/uoguelph-mlrg/nips18-secml-advex-input-fault |
Databáze: | arXiv |
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