Adversarial attack defenses for neural networks
The widespread adoption of deep neural networks (DNNs) across various domains has led to the creation of high-performance models trained on extensive datasets. As a result, there is a growing need to protect the intellectual property of these models, leading to the development of various watermar...
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| Materyal Türü: | Final Year Project (FYP) |
| Dil: | English |
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Nanyang Technological University
2024
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| Online Erişim: | https://hdl.handle.net/10356/175196 |