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Protecting the Intellectual Properties of Deep Neural Networks with an
  Additional Class and Steganographic Images

Protecting the Intellectual Properties of Deep Neural Networks with an Additional Class and Steganographic Images

19 April 2021
Shichang Sun
Mingfu Xue
Jian Wang
Weiqiang Liu
    AAML
ArXiv (abs)PDFHTML

Papers citing "Protecting the Intellectual Properties of Deep Neural Networks with an Additional Class and Steganographic Images"

3 / 3 papers shown
Title
Watermarking in Secure Federated Learning: A Verification Framework
  Based on Client-Side Backdooring
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring
Wenyuan Yang
Shuo Shao
Yue Yang
Xiyao Liu
Ximeng Liu
Zhihua Xia
Gerald Schaefer
Hui Fang
FedML
77
23
0
14 Nov 2022
InFIP: An Explainable DNN Intellectual Property Protection Method based
  on Intrinsic Features
InFIP: An Explainable DNN Intellectual Property Protection Method based on Intrinsic Features
Mingfu Xue
Xin Wang
Ying-Chang Wu
S. Ni
Yushu Zhang
Weiqiang Liu
132
2
0
14 Oct 2022
Robust and Imperceptible Black-box DNN Watermarking Based on Fourier
  Perturbation Analysis and Frequency Sensitivity Clustering
Robust and Imperceptible Black-box DNN Watermarking Based on Fourier Perturbation Analysis and Frequency Sensitivity Clustering
Yong-Jin Liu
Hanzhou Wu
Xinpeng Zhang
AAML
85
9
0
08 Aug 2022
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