Protecting deep learning algorithms from model theft
The rise of Deep Neural Network architectures deployed on edge Field Programmable Gate Arrays has introduced new security challenges. Such attacks can potentially reverse-engineer models, compromising their confidentiality and integrity. In this report, we present a defence mechanism aimed at...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/181174 |
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Institution: | Nanyang Technological University |
Language: | English |
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