Effects of incremental training on watermarked neural networks
Deep learning has achieved extraordinary results in many different areas, ranging from autonomous driving [1], medical devices [2] to speech recognition and natural language processing [3]. Generating a high-performance neural network is costly in aspects of time, computational resources, and exp...
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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/10356/167143 |