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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Bibliographic Details
Main Author: Pang, Song Chen
Other Authors: Lam Siew Kei
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/181174
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Institution: Nanyang Technological University
Language: English

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