Trustworthiness and certified robustness for deep learning
Though Deep Learning (DL) has shown its superiority in many complex computer vision tasks, in recent years, researchers found out that DL-based systems were extremely vulnerable to adversarial attacks. By adding small and human imperceptible corruptions to the original inputs, adversarial attacks wi...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/158769 |