Toward robust natural language systems
The monumental achievements of deep learning (DL) systems seem to guarantee the absolute superiority and robustness of modern DL systems, but they have shown significant vulnerability to samples specifically crafted to misguide them, namely adversarial examples The adversarial examples are seemingly...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/169803 |
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| Institution: | Nanyang Technological University |
| Language: | English |