Robustness of semi-supervised deep learning model against backdoor attacks
Deep neural networks (DNNs) have revolutionized computer vision (CV), particularly in object detection and image classification applications. However, annotating data is a costly and time-consuming process that limits the amount of labeled data available for model training. Semi-supervised learning...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/167428 |