Quantifying safety risks of deep neural networks
Abstract Safety concerns on the deep neural networks (DNNs) have been raised when they are applied to critical sectors. In this paper, we define safety risks by requesting the alignment of network’s decision with human perception. To enable a general methodology for quantifying safety risks, we defi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2022-07-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-022-00790-x |