Protecting neural networks from adversarial attacks
As modern technology is rapidly progressing, more applications are utilizing aspects of machine learning—especially deep learning to time-critical and real-world applications. Adversaries are coming up with new ways to exploit attack surfaces in the machine learning process, rendering systems and ap...
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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/10356/137938 |