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AdvParams: An Active DNN Intellectual Property Protection Technique via
  Adversarial Perturbation Based Parameter Encryption

AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption

28 May 2021
Mingfu Xue
Zhiyu Wu
Jian Wang
Yushu Zhang
Weiqiang Liu
    AAML
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Papers citing "AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption"

6 / 6 papers shown
Title
Reversible Watermarking in Deep Convolutional Neural Networks for
  Integrity Authentication
Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication
Xiquan Guan
Huamin Feng
Weiming Zhang
Hang Zhou
Jie Zhang
Nenghai Yu
AAML
31
60
0
09 Apr 2021
Training DNN Model with Secret Key for Model Protection
Training DNN Model with Secret Key for Model Protection
April Pyone Maung Maung
Hitoshi Kiya
16
24
0
06 Aug 2020
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
41
8,807
0
25 Aug 2017
Embedding Watermarks into Deep Neural Networks
Embedding Watermarks into Deep Neural Networks
Yusuke Uchida
Yuki Nagai
S. Sakazawa
Shiníchi Satoh
71
603
0
15 Jan 2017
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
170
8,030
0
13 Aug 2016
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
131
6,628
0
08 Jun 2015
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