Watermarking deep neural networks for embedded systems

Deep neural networks (DNNs) have become an important tool for bringing intelligence to mobile and embedded devices. The increasingly wide deployment, sharing and potential commercialization of DNN models create a compelling need for intellectual property (IP) protection. Recently, DNN watermarking e...

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Bibliographic Details
Main Authors: Guo, Jia, Potkonjak, Miodrag
Format: Conference Proceeding
Language:English
Subjects:
ACM Reference format
Cloud computing
Computer systems organization > Embedded and cyber-physical systems > Embedded systems
Computing methodologies > Machine learning > Machine learning approaches > Neural networks
deep neural networks
Embedded systems
Neural networks
Security and privacy > Security services > Digital rights management
Software algorithms
Watermarking
Online Access:Request full text
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