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Image Steganography

Image Steganography is the main content of information hiding. The sender conceal a secret message into a cover image, then get the container image called stego, and finish the secret message’s transmission on the public channel by transferring the stego image. Then the receiver part of the transmission can reveal the secret message out. Steganalysis is an attack to the steganography algorithm. The listener on the public channel intercept the image and analyze whether the image contains secret information.

Source: Invisible Steganography via Generative Adversarial Networks

Papers

Showing 110 of 73 papers

TitleStatusHype
HiNet: Deep Image Hiding by Invertible NetworkCode1
Multi-Image Steganography Using Deep Neural NetworksCode1
Deep adaptive hiding network for image hiding using attentive frequency extraction and gradual depth extractionCode1
Fixed Neural Network Steganography: Train the images, not the networkCode1
Joint adjustment image steganography networksCode1
Learning Iterative Neural Optimizers for Image SteganographyCode1
Cover-separable Fixed Neural Network Steganography via Deep Generative ModelsCode1
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image SteganographyCode1
DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion ModelsCode1
Neural Cover Selection for Image SteganographyCode1
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