This project, Automated and Robust Image Watermarking System, focuses on developing a deep learning-based image watermarking scheme. It leverages convolutional neural networks (CNN) and autoencoders ...
In this project, a simple watermarking system for spread spectrum audio is developed using the FFT transformation to insert the data into the signal host. The system is designed to resist the problem ...
Abstract: Digital watermarking serves as an effective approach for safeguarding speech signal copyrights, achieved by the incorporation of ownership information into the original signal and its ...
In this paper, we propose a feature attention mechanism based attack scheme for deep robust watermarking, named FAADW. To extract the residual feature map related to watermark message distribution, a ...
Deakin University researchers have been awarded more than $4.7 million dollars in Australian Research Council (ARC) Discovery Projects. Discovery Projects, a flagship scheme for fundamental research ...