Watermarking Neural Networks With Watermarked Images

By detecting watermarks in the outputted images, this technique can be adopted to identify the ownership of the host network and find whether an ...

[PDF] Watermarking Neural Networks With Watermarked Images

This paper introduces a novel digital watermarking framework suitable for deep neural networks that output images as the results, ...

Any image outputted from the network trained by our framework must carry a watermark. By detecting watermarks in the outputted images, it can be used to ...

Certified Neural Network Watermarks with Randomized Smoothing

... images, videos and audio. Recently, watermarking methods have been extended to deep learning models -- in principle, the watermark should be ...

Watermarking Neural Networks With Watermarked Images

... Digital image watermarking has seen a surge of research interest due to its importance in enhancing the security and integrity of digital media [1]. Authors ...

A Neural-Network-Based Watermarking Method Approximating ...

Since the original image is unnecessary during extraction, it is often omitted to output only the watermark. Furthermore, AE with convolutional neural networks ...

Using Deep learning for image watermarking attack - ScienceDirect

In this paper, we studied the effect of a Fully Convolutional Neural Network (FCNN), as a denoising attack, on watermarked images.

Embedding Watermarks into Deep Neural Networks - GitHub

Implementation of "Embedding Watermarks into Deep Neural Networks," in Proc. of ICMR'17. - yu4u/dnn-watermark.

A Systematic Review on Model Watermarking for Neural Networks

Example of a digital watermark embedded in (A) an image and (B) a text file. The concept of watermarking can also be adopted for tagging ML models. So far, ...

Margin-based Neural Network Watermarking

difference between the watermarked and watermark-free models with a ... SoK: How robust is image classification deep neural network watermarking? In ...

Watermarking for Neural Radiation Fields by Invertible Neural Network

The scheme embeds a watermark in each training image to train the neural radiation field and enables the extraction of watermark information ...

Convolutional Neural Network-Based Image Watermarking using ...

Using watermarks in digital images is one of the most common ways to maintain security. Watermarking is proving and declaring ownership of an ...

Embedding Watermarks into Deep Neural Networks

Hannigan. 2003. Using digital watermarks with image signatures to mitigate the threat of the copy attack. In Proc. of ICASSP. pages69--72.

Watermarking Neural Networks With Watermarked Images - Scribd

Watermarking Neural Networks. With Watermarked Images Hanzhou Wu , Member, IEEE, Gen Liu, Yuwei Yao, and Xinpeng Zhang. Abstract— Watermarking neural networks ...

dnn-security/Watermark-Robustness-Toolbox: The official ... - GitHub

The official implementation of the IEEE S&P`22 paper "SoK: How Robust is Deep Neural Network Image Classification Watermarking".

[Retracted] Detecting Digital Watermarking Image Attacks Using a ...

In this study, the convolution neural network model was applied to detect various types of watermark attacks. For detecting these attacks, 50 ...

Digital Watermarking Using Deep Neural Network

This paper focused on the classification of the watermark image using. DNN. Few models take several days to train deep models such as. ResNet and VGGNet [10], [ ...

Watermarking Deep Neural Networks in Image Processing - CDN

In addition to the watermarking method, we also developed a plug-and-play auxiliary module that turns the watermark data (which are random images in our method) ...

Digital watermarking based on neural networks for color images

Due to neural networks possessing the learning capability from given learning (training) patterns, our method can memorize the relations between a watermark and ...

A Deep Learning–based Audio-in-Image Watermarking Scheme

[13] proposed to embed a watermark into a gray- scale cover-image with manual frequency-domain methods and extract it with a convolutional neural network.