Image steganography usings Generative Adverserial Networks
网页Steganography is a generic term that denotes all those techniques that somehow try to hide information within other forms of data. Differently from cryptography, which aims to hide messages by manipulation of the data, steganography aims to hide the existence of the information itself.
Leveraging coverless image steganography to hide secret …
网页2024年8月15日 · To address these issues, we propose a coverless information-hiding method that generates anime characters through generative adversarial networks (GANs). This method converts secret information into an attribute label set for anime characters and uses the label set to generate anime characters directly.
StegGAN: hiding image within image using conditional generative ...
网页2022年5月11日 · Zhang et al. proposed ISGAN to hide and recover an image within an image using GAN. ISGAN model conceals a secret grayscale image inside the Y-channel of the color container image to improve security.
An encrypted coverless information hiding method based on …
网页2021年4月1日 · Duan et al. [14] proposed a coverless information hiding method based on a generated model. In this approach, the sender borrows from Wasserstein generative adversarial networks (WGAN) [15] and generates a normal and independent cover image with no relation to the secret image.
[1712.06951] Coverless Information Hiding Based on Generative ...
网页2017年12月18日 · Traditional image steganography modifies the content of the image more or less, it is hard to resist the detection of image steganalysis tools. To address this problem, a novel method named generative coverless information hiding method based on generative adversarial networks is proposed in this paper. The main idea of the method is that the ...
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized …
网页2020年9月19日 · Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images. Unprecedented data collection and sharing have exacerbated privacy concerns and led to increasing interest in privacy-preserving tools that remove sensitive attributes from images while maintaining useful information for other tasks. Currently, state …
The secure steganography for hiding images via GAN
网页2020年10月27日 · Therefore, this paper proposes a steganography model—HIGAN, which constructs the encoding network composed of residual blocks to hide the color secret image into another color image of the same size to output a lower distortion and higher visual quality steganographic image.
HidingGAN: High Capacity Information Hiding with ... - ResearchGate
网页2019年10月1日 · In this paper, to address these problems, we propose a high capacity image steganographic model named HidingGAN. The proposed model utilizes a new secret information preprocessing method and ...
Camouflage Generative Adversarial Network: Coverless Full-image …
网页In this paper, we propose Camouflage Generative Adversarial Network (Cam-GAN), a novel two-stage coverless full-image-to-image hiding method named, to tackle this problem. Our method offers a hiding solution through image synthesis to avoid using a modified cover image as the image hiding container and thus enhancing both image hiding ...
An improved steganography without embedding based on attention GAN ...
网页2021年1月3日 · Hayes et al. adopted a model that uses the GAN to perform the discriminative task of learning a steganographic algorithm. Zhu et al. proposed another GAN-based model of Hiding Data With Deep Networks (HiDDeN), whose overall network structure is similar to the Hayes model, but added with different noise layers. This model not only generates ...