Adversarial attacks on deep learning
Deep learning models, especially convolutional neural networks (CNNs), have made significant progress in the field of image recognition and classification. However, adversarial attacks have emerged as a significant vulnerability, posing threats to the robustness of these models. One notable example...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/166036 |