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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 1–50 of 73 papers

TitleStatusHype
Joint adjustment image steganography networksCode1
HiNet: Deep Image Hiding by Invertible NetworkCode1
Learning Iterative Neural Optimizers for Image SteganographyCode1
Multi-Image Steganography Using Deep Neural NetworksCode1
PRIS: Practical robust invertible network for image steganographyCode1
StegFormer: Rebuilding the Glory of the Autoencoder-Based SteganographyCode1
Neural Cover Selection for Image SteganographyCode1
Fixed Neural Network Steganography: Train the images, not the networkCode1
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
Payload-Independent Direct Cost Learning for Image SteganographyCode1
Deep adaptive hiding network for image hiding using attentive frequency extraction and gradual depth extractionCode1
An Evolutionary Computing Enriched RS Attack Resilient Medical Image Steganography Model for Telemedicine Applications—0
A Novel Approach to Image Steganography Using Generative Adversarial Networks—0
Diffusion-Based Hierarchical Image Steganography—0
A Novel Local Binary Pattern Based Blind Feature Image Steganography—0
EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection—0
A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method—0
EmbAu: A Novel Technique to Embed Audio Data Using Shuffled Frog Leaping Algorithm—0
A security steganography scheme based on hdr image—0
Enhancing Steganographic Text Extraction: Evaluating the Impact of NLP Models on Accuracy and Semantic Coherence—0
Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition under Reshuffling—0
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs—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
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
An Accurate Texture Complexity Estimation for Quality-Enhanced and Secure Image Steganography—0
Blind Data Adaptation to tackle Covariate Shift in Operational Steganalysis—0
Large-Capacity Image Steganography Based on Invertible Neural Networks—0
Multitask Identity-Aware Image Steganography via Minimax Optimization—0
A Color Image Steganography Based on Frequency Sub-band Selection—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
Robust Message Embedding via Attention Flow-Based Steganography—0
PixelSteganalysis: Destroying Hidden Information with a Low Degree of Visual Degradation—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
Color Image steganography using Deep convolutional Autoencoders based on ResNet architecture—0
Securing Fixed Neural Network Steganography—0
Coverless information hiding based on Generative Model—0
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