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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

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Showing 1–25 of 73 papers

TitleStatusHype
DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion ModelsCode1
Cover-separable Fixed Neural Network Steganography via Deep Generative ModelsCode1
Neural Cover Selection for Image SteganographyCode1
StegFormer: Rebuilding the Glory of the Autoencoder-Based SteganographyCode1
Joint adjustment image steganography networksCode1
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image SteganographyCode1
HiNet: Deep Image Hiding by Invertible NetworkCode1
Multi-Image Steganography Using Deep Neural NetworksCode1
PRIS: Practical robust invertible network for image steganographyCode1
Fixed Neural Network Steganography: Train the images, not the networkCode1
Payload-Independent Direct Cost Learning for Image SteganographyCode1
Learning Iterative Neural Optimizers for Image SteganographyCode1
Deep adaptive hiding network for image hiding using attentive frequency extraction and gradual depth extractionCode1
Coverless information hiding based on Generative Model—0
A Novel Local Binary Pattern Based Blind Feature Image Steganography—0
Color Image steganography using Deep convolutional Autoencoders based on ResNet architecture—0
A Novel Approach to Image Steganography Using Generative Adversarial Networks—0
From Covert Hiding to Visual Editing: Robust Generative Video Steganography—0
GhostEncoder: Stealthy Backdoor Attacks with Dynamic Triggers to Pre-trained Encoders in Self-supervised Learning—0
Blind Data Adaptation to tackle Covariate Shift in Operational Steganalysis—0
Diffusion-Based Hierarchical Image Steganography—0
Enhancing Steganographic Text Extraction: Evaluating the Impact of NLP Models on Accuracy and Semantic Coherence—0
An Evolutionary Computing Enriched RS Attack Resilient Medical Image Steganography Model for Telemedicine Applications—0
An Accurate Texture Complexity Estimation for Quality-Enhanced and Secure Image Steganography—0
Shackled Dancing: A Bit-Locked Diffusion Algorithm for Lossless and Controllable Image Steganography—0
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