Large capacity generative image steganography via image style transfer and feature-wise deep fusion
Author:
Funder
National Natural Science Foundation of China
BUPT Excellent Ph.D. Students Foundation
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04993-8.pdf
Reference48 articles.
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2. Tang W, Li B, Barni M, Li J, Huang J (2021) An automatic cost learning framework for image steganography using deep reinforcement learning. IEEE Trans Inf Forensics Secur 16:952–967
3. Xu J, Yang J, Ma Y, Qu K, Kang Y (2022) Feature selection method for color image steganalysis based on fuzzy neighborhood conditional entropy. Appl Intell 52(8):9388–9405
4. Shi W, Liu S (2022) Hiding message using a cycle generative adversarial network. ACM Trans Multimed Comput Commun Appl 18(3, S, SI). https://doi.org/10.1145/3495566
5. Peng F, Chen G, Long M (2022) A robust coverless steganography based on generative adversarial networks and gradient descent approximation. IEEE Trans Circuits Syst Video Technol 32(9):5817–5829. https://doi.org/10.1109/TCSVT.2022.3161419
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