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Model Watermarking for Image Processing Networks

Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Weiming Zhang, Wenbo Zhou, Hao Cui, Nenghai Yu
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
There are a few recent attempts at classification network protection only.In this paper, we propose the first model watermarking framework for protecting image processing models.  ...  Besides deep models, the proposed method is also easy to be extended to protect data and traditional image processing algorithms.  ...  framework for image processing models shown in Figure 2 .  ... 
doi:10.1609/aaai.v34i07.6976 fatcat:cocblp5xifbepefzn6y2ontkpu

Model Watermarking for Image Processing Networks [article]

Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Weiming Zhang, Wenbo Zhou, Hao Cui, Nenghai Yu
2020 arXiv   pre-print
In this paper, we propose the first model watermarking framework for protecting image processing models. To achieve this goal, we leverage the spatial invisible watermarking mechanism.  ...  Besides deep models, the proposed method is also easy to be extended to protect data and traditional image processing algorithms.  ...  framework for image processing models shown in Figure 2 .  ... 
arXiv:2002.11088v1 fatcat:7c7przyq2rg3viirppe3a3flxi

An Image Compression Based Technique to Watermark a Neural Network

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Finally, we perform detailed image data experiments to demonstrate the potential of neural networks watermarking as the basis for this research attempt.  ...  We propose in this paper a digital watermarking system for neural networks.  ...  to counter propagation network [7] for extracting the watermark and the decoding process ends at this point.  ... 
doi:10.35940/ijitee.d9064.029420 fatcat:hwvatnwyojgwrgj2bn52ejmwjm

Optimized Features of SIFT Transform Function for Digital Image Watermarking using Hybrid Swarm Intelligence and Neural Network

2019 International journal of recent technology and engineering  
The PSO used as feature optimizer and ACO used for the selection of features point for the processing of neural network models. Two neural networks models used BP and RBF.  ...  The property of both models is different for the processing of data and desired output for the enhancement of the proposed model used cascaded neural network models using BP and RBF.  ...  For the generation of a dynamic pattern used cascaded neural network models. The cascading of neural network models used two models BP neural network models and RBF neural networks models.  ... 
doi:10.35940/ijrte.c4584.098319 fatcat:khmo5ddakbgz5phynms5oafxti

A Robust Image Watermarking Approach Using Cycle Variational Autoencoder

Qiang Wei, Hu Wang, Gongxuan Zhang
2020 Security and Communication Networks  
In this paper, we introduce a robust image watermarking algorithm for copyright protection based on variational autoencoder networks.  ...  In the training process, the encoder and decoder subnetworks learn a robust image representation model and further implement the embedding of 1-bit watermark image to the cover image.  ...  However, since we process the input image as a whole, the size of our network will be too big to be practically used for large images directly.  ... 
doi:10.1155/2020/8869096 fatcat:i3sobjeiw5erdiyhzptr6lgz3e

Exploring Structure Consistency for Deep Model Watermarking [article]

Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Zehua Ma, Weiming Zhang, Gang Hua, Nenghai Yu
2021 arXiv   pre-print
By utilizing consistent invisible spatial watermarks, one recent work first considered model watermarking for deep image processing networks and demonstrated its efficacy in many downstream tasks.  ...  However, little attention has been devoted to the protection of DNNs in image processing tasks.  ...  Our method and [14] both focus on the model IP protection problem for deep image processing networks and surrogate model attack.  ... 
arXiv:2108.02360v1 fatcat:fctwdf5vhnadppn3otmb3wt4gq

A Computational Modelling and Algorithmic Design Approach of Digital Watermarking in Deep Neural Networks

Revanna Sidamma Kavitha, Uppara Eranna, Mahendra Nanjappa Giriprasad
2020 Advances in Science, Technology and Engineering Systems  
In this paper we propose an algorithmic approach for Convolutional Neural Network (CNN) for digital watermarking which outperforms the existing frequency domain techniques in all aspects including security  ...  This research addresses digital watermarking in deep neural networks and with comprehensive experiments through computational modeling and algorithm design, we examine the performance of the built system  ...  ; Else End of Decoded Network; Return predictions; Return decoding model; Image Decoding Process Ends; End Decoding Model End Table 2 : 2 Comparison of Results  ... 
doi:10.25046/aj0506187 fatcat:7mv5wcjrwjdabojrjfkcpf4qqa

Defeating data hiding in social networks using generative adversarial network

Huaqi Wang, Zhenxing Qian, Guorui Feng, Xinpeng Zhang
2020 EURASIP Journal on Image and Video Processing  
Various types of images are mixed up in the social networks, and it is difficult for the servers of social networks to detect whether the images are clean.  ...  Therefore, hidden data can be removed and the quality of the processed images can be well maintained.  ...  Acknowledgements Thanks to the anonymous reviewers for their constructive suggestions to help improve this paper.  ... 
doi:10.1186/s13640-020-00518-2 fatcat:efypyfvsuneizmt3qncy7y2ziq

Secure Key Generation for Static Visual Watermarking by Machine Learning in Intelligent Systems and Services

Kensuke Naoe, Hideyasu Sasaki, Yoshiyasu Takefuji
2010 International Journal of Systems and Service-Oriented Engineering  
In this article, the authors propose a method of key generation scheme for static visual digital watermarking by using machine learning technology, neural network as its exemplary approach for machine  ...  Second, the proposed method of watermark extraction is processed by presenting visual features of the target visual image into extraction key or herein is a classifier generated in advance by the training  ...  The proposed method uses a multi-layered perceptron model for neural network model.  ... 
doi:10.4018/ijssoe.2010010103 fatcat:tghqzwp62zdz5dghjskmmsa6r4

Image Watermarking Technique Using Embedder and Extractor Neural Networks

Ippei HAMAMOTO, Masaki KAWAMURA
2019 IEICE transactions on information and systems  
In this work, we consider the process of generating a stego-image from an original image and watermarks as compression, and the process of recovering the original image and watermarks from the stego-image  ...  Once the proposed neural network has been trained, the network can embed and extract the watermark into unlearned test images.  ...  We consider the process of generating a stego-image from an original image and a watermark as compression, and the process of recovering the original image and the watermark from the stego-image as decompression  ... 
doi:10.1587/transinf.2018mup0006 fatcat:mgdxzvbvnva5pd3j2pe7dagmby

A holographic image robust watermarking algorithm based on DWT-SIFT and neural network model

J P Pang, A L Wang, X F Zhu, L Guo, S K Li, K Xin, S X Fan, F P Liu
2019 IOP Conference Series: Materials Science and Engineering  
And neural network model is applied to digital watermarking technology. Firstly, the watermark image is transformed by Fresnel diffraction to generate hologram, which is divided into 16×16 blocks.  ...  , the random coordinates are taken as the input data of the neural network model, and the embedded position coordinates are taken as the output data of the neural network model.  ...  Acknowledgment The authors thank all the Editor and the anonymous referees for their constructive comments and valuable suggestions, which are helpful to improve the quality of this paper.  ... 
doi:10.1088/1757-899x/563/5/052088 fatcat:5yh5aag43bg4vozezb4b4gmdye

Framework for Improvising Dual Digital Watermarking through Deep Learning Techniques

Saranya. G, Mrs. Priya Vijay
2018 International Journal of Engineering Research and  
Achieving better compression rates in dual digital watermarking is still area of concern. Digital watermarking has four techniques for compression the image.  ...  The paper explains the state of art for all four techniques and reveals the importance of embedding of fragile and robust watermark during compression on the image encoder.  ...  III FRAMEWORK MODEL The proposed system implements Convolutional Neural Network(CNN) is the deep class that is it is implemented by Forward Neural Networks(FNN) which is used to analysis the visual image  ... 
doi:10.17577/ijertv7is020138 fatcat:bfqj7rm3k5hlje5ibtqhnlw6di

A Generalized Deep Neural Network Approach for Digital Watermarking Analysis

Weiping Ding, Yurui Ming, Zehong Cao, Chin-Teng Lin
2021 IEEE Transactions on Emerging Topics in Computational Intelligence  
Instead of training a neural network for protecting a specific image, we train the network on an image dataset and generalize the trained model to protect distinct test images in a bulk manner.  ...  In this paper, we propose a deep neural network (DNN) based watermarking method to achieve this goal.  ...  TABLE V FLOPS V OF THE NETWORK MODEL * There are two up-sampler modules, one for image, the other for watermark; † b: billion, m: million.  ... 
doi:10.1109/tetci.2021.3055520 fatcat:d4ys26fphrendiqvuayykotuoq

Single exposure optical image watermarking using a cGAN network

Jiaosheng Li, Yuhui Li, Ju Li, Qinnan Zhang, Guo Yang, Shimei Chen, Chen Wang, Jun Li
2021 IEEE Photonics Journal  
images are constructed to the train datasets for the learning of an end-to-end conditional generative adversarial network (cGAN), finally retrieved the watermark image well with the trained cGAN network  ...  Index Terms: Optical image watermarking, image reconstruction, digital holography, deep learning, generative adversarial network.  ...  Finally, when the discrimination network cannot distinguish the generated image (that is, the generated image is very close to the label image), the DL model used for retrieving the object image from the  ... 
doi:10.1109/jphot.2021.3068299 fatcat:l4uhstlczfcc7ensosjzc7bdfu

A survey of deep neural network watermarking techniques [article]

Yue Li and Hongxia Wang and Mauro Barni
2021 arXiv   pre-print
While DNN watermarking inherits some basic concepts and methods from MM watermarking, there are significant differences between the two application areas, calling for the adaptation of media watermarking  ...  Following its use for Multimedia (MM) IPR protection, digital watermarking has recently been considered as a mean to protect the IPR of DNNs.  ...  (image processing networks) [86] Black-box Zero-bit Use a sub-network to embed the watermark into the images produced by the network Surrogate model attack gorithm (called BlackMarks) applicable  ... 
arXiv:2103.09274v1 fatcat:4volfm2kxfb3zmkgjea62niwpq
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