Defences and threats in safe deep learning
Deep learning systems are gaining wider adoption due to their remarkable performances in computer vision and natural language tasks. As its applications reach into high stakes and mission-critical areas such as self-driving vehicle, safety of these systems become paramount. A lapse in safety in deep...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/152976 |
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| Institution: | Nanyang Technological University |
| Language: | English |