SteganoGAN: High Capacity Image Steganography with GANs

By Kevin Alex Zhang, Alfredo Cuesta-Infante, Lei Xu, Kalyan Veeramachaneni. arXiv.org, 2019

309 citations recorded by the source corpus.

Image steganography is a procedure for hiding messages inside pictures. While other techniques such as cryptography aim to prevent adversaries from reading the secret message, steganography aims to hide the presence of the message itself. In this paper, we propose a novel technique for hiding arbitrary binary data in images using generative adversarial networks which allow us to optimize the perceptual quality of the images produced by our model. We show that our approach achieves state-of-the-art payloads of 4.4 bits per pixel, evades detection by steganalysis tools, and is effective on images from multiple datasets. To enable fair comparisons, we have released an open source library that is available online at this https URL.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/2be987a332e87e1ae07191ed4a949b1236b94306

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Thinagaran Perumal
2. Norwati Mustapha
3. Raihani Mohamed
4. Farhad Shiri

Citations in the corpus

• A Survey on Generative Adversarial Networks: Variants, Applications, and Training (2020, unknown): “In recent years, Stegano-GAN [63] is the most popular approach used to hide arbitrary size binary data in images.”
• HiNet: Deep Image Hiding by Invertible Network (2021, unknown): “[37] used generative adversarial network (GAN) to optimize the perceptual quality of steganographic images.”
• A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU (2023, background): “Generative Adversarial Networks (GANs) have introduced numerous applications across various domains, including image blending [67], 3D object generation [68], face aging [69], medicine [70, 71], steganography [72], image manipulation [73], text transfer [74], language and speech synthesis [75], traf”