Demystifying adversarial attacks on neural networks
Prevalent use of Neural Networks for Classification Tasks has brought to attention the security and integrity of the Neural Networks that industries are so reliant on. Adversarial examples are conspicuous to humans, but neural networks struggle to correctly classify images with the presence of adver...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/137946 |