Open Access
Research Article·pp. 203–214·Vol. 27, Issue 2-AMar 2024
Chebyshev polynomial approximation in CNN for zero-knowledge encrypted data analysis
Hayder M. A. Ghanimi, T. Gopalakrishnan, G. Joel Sunny Deol, K. Amarendra, Pankaj Dadheech, Sudhakar Sengan
Published Online: 06 Apr 2024DOI: 10.47974/JDMSC-1880
In this paper: Integrating Deep Learning (DL) techniques in Convolutional Neural Networks (CNNs) with encrypted data analysis is an emerging field for enhancing data privacy and security. A significant challenge in...
