Survey on watermarking methods in the artificial intelligence domain and beyond

Recently, machine/deep learning has become a promising solution for some intelligent tasks. It can be actively used for watermarking but less so for conventional tasks such as prediction, classification and regression. This article presents a comprehensive study on watermarking using trending technologies, such as artificial intelligence, machine learning and deep learning. Also, it briefly discusses the introduction of watermarking, background information and the most interesting and utilized applications. The major role of trending technologies in watermarking has also been highlighted. The contribution of the surveyed scheme is also summarized and compared for different technical perspectives. Lastly, the article highlights recent challenges and directions of potential research that could fill gaps in this area for researchers and developers.

Automated summary

This article presents a comprehensive study on watermarking using trending technologies such as artificial intelligence, machine learning and deep learning. It discusses the introduction of watermarking, background information, interesting applications, and highlights the major role of trending technologies in watermarking. The contribution of the surveyed scheme is summarized and compared, and recent challenges and directions of potential research are highlighted.