Towards deep neural networks robust to adversarial examples
Deep learning has become the dominant approach for any problem where learning from data is necessary, e.g. recognizing objects, understanding natural language. If the data is the "nail", then deep learning is the "hammer". Nevertheless, state-of-the-art deep neural networks are p...
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格式: | Thesis-Doctor of Philosophy |
語言: | English |
出版: |
Nanyang Technological University
2020
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在線閱讀: | https://hdl.handle.net/10356/143316 |
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