ActiveGuard: An active intellectual property protection technique for deep neural networks by leveraging adversarial examples as users' fingerprints

ActiveGuard: An active intellectual property protection technique for deep neural networks by leveraging adversarial examples as users' fingerprints

Abstract The intellectual properties (IP) protection of deep neural networks (DNN) models has raised many concerns in recent years. To date, most of the existing works use DNN watermarking to protect the IP of DNN models. However, the DNN watermarking methods can only passively verify the copyright...

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Bibliographic Details
Main Authors: Mingfu Xue, Shichang Sun, Can He, Dujuan Gu, Yushu Zhang, Jian Wang, Weiqiang Liu
Format: Article
Language:English
Published: Hindawi-IET 2023-07-01
Series:IET Computers & Digital Techniques
Subjects:
active copyright protection
adversarial examples
authorization control
deep neural networks
users' fingerprints management
Online Access:https://doi.org/10.1049/cdt2.12056

Internet

https://doi.org/10.1049/cdt2.12056

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