Brain programming is immune to adversarial attacks: Towards accurate and robust image classification using symbolic learning
In recent years, the security concerns about the vulnerability of deep convolutional neural networks to adversarial attacks in slight modifications to the input image almost invisible to human vision make their predictions untrustworthy. Therefore, it is necessary to provide robustness to adversaria...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |