Feb 15, 2021 · In this paper, we propose a deep neural network (DNN) based watermarking method to achieve this goal. Instead of training a neural network for ...
To demonstrate the robustness of this general neural watermarking approach, commonly used attacks are applied to the watermarked images to examine the ...
Mar 8, 2020 · In this paper, we propose a general deep neural network (DNN) based watermarking method to fulfill this goal.
In this paper, we propose a deep neural network (DNN) based watermarking method to achieve this goal. Instead of training a neural network for protecting a ...
A new watermarking method based on a convolutional neural network (ConvNet) called ConvNet-HIDE as well as principal component analysis (PCA) is proposed, ...
In this paper, we propose a general deep neural network (DNN) based watermarking method to fulfill this goal. Instead of training a neural network for ...
The source code of implementing deep neural network (DNN) for digital watermarking, please refer to: https://arxiv.org/abs/2003.12428
We generalized the digital watermark using the deep neural network, and remotely verify the ownership of DNN models based on the embedded watermarks. Our ...
In this paper, we focus our research on the image case with invisible digital watermarking. Currently, the watermarking techniques are mainly divided into two ...
To the best of the knowledge, this paper is the first to propose a general way to perform watermarking using DNN and it is concluded that subsequent studies ...
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