- Digital Image Watermarking Techniques Using Machine Learning🔍
- Comprehensive review of watermarking techniques in deep ...🔍
- Are Classification Deep Neural Networks Good for Blind Image ...🔍
- High|Frequency Matters🔍
- Attacks on Digital Watermarks for Deep Neural Networks🔍
- Digital Image Watermarking Processor Based on Deep Learning🔍
- Covert and Robust White|Box Watermarking of Deep Neural Networks🔍
- An Automated and Robust Image Watermarking Scheme Based on ...🔍
Using Deep learning for image watermarking attack
Digital Image Watermarking Techniques Using Machine Learning
In addition, the method is also evaluated for signal processing attacks. The experimental result shows that the proposed method is robust for the known attack ...
Comprehensive review of watermarking techniques in deep ...
... digital watermarking; we later review the popular deep-learning ... Hatoum et al., “Using deep learning for image watermarking attack,” Signal Process · Image ...
Are Classification Deep Neural Networks Good for Blind Image ...
Image watermarking is usually decomposed into three steps: (i) a feature vector is extracted from an image; (ii) it is modified to embed the watermark; ...
High-Frequency Matters: Attack and Defense for Image-Processing ...
1. Here, a released image-processing deep learning model is watermarked such that every image it outputs contains an invisible watermark. If an adversary tries ...
Comprehensive review of watermarking techniques in deep ...
proposed a deep-learning model to verify the corrupted images caused by dense watermarks. The model consists of a generator and a discriminator for improving ...
Attacks on Digital Watermarks for Deep Neural Networks - IEEE Xplore
We show analytically that our detection algorithm follows consequentially from their embedding algorithm and propose a possible countermeasure. Our findings ...
Digital Image Watermarking Processor Based on Deep Learning
Deliberately damaging or removing watermark information is called a malicious attack, and image processing to store or distribute content is called a non- ...
Covert and Robust White-Box Watermarking of Deep Neural Networks
Comments · On the Feasibility of Automated Built-in Function Modeling for PHP Symbolic Execution · USENIX Security '18 - Turning Your Weakness ...
An Automated and Robust Image Watermarking Scheme Based on ...
In this paper, a robust and blind image watermarking scheme based on deep learning neural networks is proposed. To minimize the requirement of domain ...
Digital Image Watermarking Processor Based on Deep Learning
Much research and development have been made to implement deep neural networks for various purposes with hardware. We implement the deep learning algorithm ...
[PDF] A Robust Image Watermarking System Based on Deep Neural ...
A fully automated image watermarking system based on deep neural networks and an unsupervised deep learning structure and a novel loss computation are ...
Digital Watermarking as an Adversarial Attack on Medical Image ...
In the past years, Deep Neural Networks (DNNs) have become popular in many disciplines such as Computer Vision (CV), and the evolution of ...
WAN: Watermarking Attack Network - BMVC 2021
The proposed WAN with Lwa and Lc can hinder watermark extraction by learning these fine feature and induces the attacked image to visually follow the original.
Deep Learning-based Text-in-Image Watermarking - AIModels.fyi
The researchers designed the extraction network to be robust against various image processing attacks, such as cropping, rotation, and ...
Accelerating Neural Steganography and Digital Watermarking of ...
Deep neural network (DNN) based image steganography and watermarking techniques are quickly replacing traditional hand-engineered pipelines. DNN based ...
Watermarking-based Defense against Adversarial Attacks on Deep ...
the watermarking algorithm and the watermark image database are also known ... Goodfellow, “Transferability in ma- chine learning: from phenomena to black-box ...
Hybrid deep learning based digital image watermarking using GAN ...
Begum M, Uddin MS (2020) Digital image watermarking techniques: a review. · Fkirin A, Attiya G, El-Sayed A, Shouman MA (2022) Copyright protection of deep neural ...
Image Watermarking for Machine Learning Datasets
Our results show that the watermark embedding scheme provides decent imperceptibility and robustness against update, zero- out, and insertion attacks but, it is ...
Bellafqira/DICTION: Watermarking Deep Neural Networks - GitHub
We have configured all watermarking schemes and removal attacks for the image classification datasets: CIFAR-10 (32x32 pixels, 10 classes) and MNIST (28x28 ...
Digital watermarking as an adversarial attack on medical image ...
The paper discusses the use of digital watermarking as a potential adversarial attack on medical image analysis with deep learning, highlighting the risks ...