A coverless steganography method based on generative adversarial network

A coverless steganography method based on generative adversarial network

Abstract The traditional information hiding is realized by embedding the secret information into the multimedia, but it will inevitably leave the modification mark in the carrier. This paper proposed a new method of coverless information hiding. First, the improved Wasserstein GAN (WGAN-GP) model is...

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Bibliographic Details
Main Authors: Xintao Duan, Baoxia Li, Daidou Guo, Zhen Zhang, Yuanyuan Ma
Format: Article
Language:English
Published: SpringerOpen 2020-05-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Coverless information hiding
Generative adversarial network
WGAN-GP
Online Access:http://link.springer.com/article/10.1186/s13640-020-00506-6

Internet

http://link.springer.com/article/10.1186/s13640-020-00506-6

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