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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 26–50 of 73 papers

TitleStatusHype
GhostEncoder: Stealthy Backdoor Attacks with Dynamic Triggers to Pre-trained Encoders in Self-supervised Learning—0
Hiding Data in Colors: Secure and Lossless Deep Image Steganography via Conditional Invertible Neural Networks—0
Hiding Image in Image by Five Modulus Method for Image Steganography—0
Image Generation Network for Covert Transmission in Online Social Network—0
ImageNet Pretrained CNNs for JPEG Steganalysis—0
Image Steganography based on Iteratively Adversarial Samples of A Synchronized-directions Sub-image—0
Image Steganography based on Style Transfer—0
Image Steganography For Securing Intellicise Wireless Networks: "Invisible Encryption" Against Eavesdroppers—0
Blind Data Adaptation to tackle Covariate Shift in Operational Steganalysis—0
A Color Image Steganography Based on Frequency Sub-band Selection—0
Large-Capacity Image Steganography Based on Invertible Neural Networks—0
Multitask Identity-Aware Image Steganography via Minimax Optimization—0
PixelSteganalysis: Destroying Hidden Information with a Low Degree of Visual Degradation—0
News Image Steganography: A Novel Architecture Facilitates the Fake News Identification—0
Noise-NeRF: Hide Information in Neural Radiance Fields using Trainable Noise—0
Null Space Properties of Neural Networks with Applications to Image Steganography—0
Open Image Content Disarm And Reconstruction—0
Color Image steganography using Deep convolutional Autoencoders based on ResNet architecture—0
Robust Message Embedding via Attention Flow-Based Steganography—0
Protecting the Intellectual Properties of Deep Neural Networks with an Additional Class and Steganographic Images—0
Provably Secure Robust Image Steganography via Cross-Modal Error Correction—0
Robust Invertible Image Steganography—0
Coverless information hiding based on Generative Model—0
Securing Fixed Neural Network Steganography—0
Deep Neural Networks based Invisible Steganography for Audio-into-Image Algorithm—0
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