Evaluation of adversarial attacks against deep learning models
The rapid development of deep learning techniques has made them useful in many applications. However, recent studies have shown that deep learning algorithms can be vulnerable to adversarial attacks. This is a serious concern when considering these algorithms for safety-critical applications. To fur...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2022
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Online Access: | https://hdl.handle.net/10356/156516 |
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Institution: | Nanyang Technological University |
Language: | English |
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