DefenseFea: An Input Transformation Feature Searching Algorithm Based Latent Space for Adversarial Defense
Deep neural networks based image classification systems could suffer from adversarial attack algorithms, which generate input examples by adding deliberately crafted yet imperceptible noise to original input images. These crafted examples can fool systems and further threaten their security. In this...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-02-01
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| Series: | Foundations of Computing and Decision Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/fcds-2024-0002 |