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Author/Affiliation: Uppara ErannaOpen AccessArticle
9 Pages, 712 KB 
A Computational Modelling and Algorithmic Design Approach of Digital Watermarking in Deep Neural Networks
Abstract:
In this paper we propose an algorithmic approach for Convolutional Neural Network (CNN) for digital watermarking which outperforms the existing frequency domain techniques in all aspects including security along with the criteria in the neural networks such as conditions embedded, and types of watermarking attack. This research addresses digital watermarking in deep neural networks and…
Read More(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Artificial Intelligence in Computer Science (CAI))