Digital audio watermarking is an important technique to secure and authenticate audio
media. This paper provides a comprehensive review of the twenty years' research and …

Abstract Deep Neural Networks (DNNs) have developed rapidly in data privacy protection
applications such as medical treatment and finance. However, DNNs require high-speed …

This paper presents a secure, robust, and blind adaptive audio watermarking algorithm
based on singular value decomposition (SVD) in the discrete wavelet transform domain …

Singular value decomposition (SVD) is a new and important transform technique in robust
digital watermarking due to its different properties from the traditional transforms such as …

With the widespread growth of digital information and improved internet technologies, the
demand for improved information security techniques has significantly increased due to …

In this paper, a new and robust audio watermarking scheme based on lifting wavelet
transform (LWT) and singular value decomposition (SVD) is proposed. Specifically, the …

This paper presents a novel scheme capable of achieving robust, transparent and high-
capacity blind audio watermarking. The watermark embedding is performed by modulating …

In this paper, a robust audio watermarking scheme based on singular value decomposition
(SVD) and differential evolution (DE) using dither modulation (DM) quantization algorithm is …

In audio watermarking area, the robustness against desynchronization attacks, such as TSM
(Time-Scale Modification) and random cropping operations, is still one of the most …

With the ever-increasing use of smart devices, recent research endeavors have led to
unobtrusive screen-camera communication channel designs, which allow simultaneous …