Aisyatul Karima

A Novel Robust Image Encryption Scheme Based on Hybrid Autoencoders and Generative Adversarial Network (GAN)

This research proposes a hybrid deep learning-based image encryption model that combines Autoencoder and Generative Adversarial Network architectures by improving recognition from latent space and simulating attacks against the model, confirming the method’s effectiveness in protecting batik image transmission while preserving the integrity of cultural motifs.