Investigating vulnerability of watermarking neural network
A neural network with great performance often incurs a high cost to train. The data used to train a neural network can be confidential or need additional substantial processing. Hence, a trained neural network is regarded as intellectual property. To protect a neural network from infringement of i...
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Format: | Final Year Project (FYP) |
Language: | English |
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Nanyang Technological University
2020
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Online Access: | https://hdl.handle.net/10356/138234 |