Uncertainty as a Swiss army knife: new adversarial attack and defense ideas based on epistemic uncertainty
Abstract Although state-of-the-art deep neural network models are known to be robust to random perturbations, it was verified that these architectures are indeed quite vulnerable to deliberately crafted perturbations, albeit being quasi-imperceptible. These vulnerabilities make it challenging to dep...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2022-04-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-022-00701-0 |