Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
×
Nov 21, 2023 · To address this issue, this paper proposes a novel method for enhancing the security of image steganography using multiple adversarial networks ...
An Adversarial Example STeganography method, which hides the secret grayscale image into the color cover image to obtain the stego image that is difficult ...
Missing: Multiple | Show results with:Multiple
May 17, 2023 · In this work, we design an Adversarial Example STeganography (AEST) method, which hides the secret grayscale image into the color cover image to ...
Baluja S (2017) Hiding images in plain sight: deep steganography. Advances in Neural Information Processing Systems, 30; Brock A, Donahue J, ...
People also ask
While the deep learning based steganography methods have the advantages of automatic generation and capacity, the security of the algorithm needs to improve. In ...
In this work, we aim to further enhance the security of adversarial embedding-based image steganography by exploiting the strong correlation between adjacent ...
This chapter deals with deep learning in steganalysis from the point of view of current methods, by presenting different neural networks from the period 2015– ...
Missing: Multiple | Show results with:Multiple
This paper reviews the art of steganography with GANs according to the different strategies in data hiding, which are cover modification, cover selection, ...
Missing: Multiple | Show results with:Multiple
The method demonstrates excellent steganalysis resistance in experiments and introduces Generative Adversarial Networks (GANs) to improve the image fidelity in ...
Oct 8, 2020 · One advantage of this scheme is that a steganalyzer is added to the network, which realizes the adversarial between steganography and ...
Missing: Multiple | Show results with:Multiple