Watermarking Models and Artificial Intelligence

 

B. M. El-den1, Marwa M. Eid2

1Department of Electronics and Communication Engineering, Faculty of Engineering, Delta University for Science& Technology, International Coastal Road, Gamasah City, Mansoura, Dakhliya, Egypt, Deltauniv.edu.eg,

2Faculty of Artifcial Intelligence, Delta University for Science and Technology, Mansoura, Egypt

 

                           Emails: Basant_moheyelden@yahoo.com ; mmm@ieee.org

 

 


Abstract

Machine learning and deep learning are good bets for solving various intelligence-related problems. While it has practical applications in watermarking, it performs less well on more standard tasks like prediction, classification, and regression. This article offers the results of a thorough investigation into watermarking using modern tools like AI, ML, and DL. Watermarking's origins, some historical context, and the most fascinating and practical applications are also covered briefly.

Keywords: Steganography; digital watermarking; data hiding applications; fingerprint; Deep Neural Networks