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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 1120 of 73 papers

TitleStatusHype
Fixed Neural Network Steganography: Train the images, not the networkCode1
Multi-Image Steganography Using Deep Neural NetworksCode1
HiNet: Deep Image Hiding by Invertible NetworkCode1
Shackled Dancing: A Bit-Locked Diffusion Algorithm for Lossless and Controllable Image Steganography0
Image Steganography For Securing Intellicise Wireless Networks: "Invisible Encryption" Against Eavesdroppers0
TSCL:Multi-party loss Balancing scheme for deep learning Image steganography based on Curriculum learning0
STCL:Curriculum learning Strategies for deep learning image steganography modelsCode0
CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum LearningCode0
SCReedSolo: A Secure and Robust LSB Image Steganography Framework with Randomized Symmetric Encryption and Reed-Solomon CodingCode0
Steganographic Embeddings as an Effective Data AugmentationCode0
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