Image Steganography

19 papers with code • 0 benchmarks • 0 datasets

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

Most implemented papers

SteganoGAN: High Capacity Image Steganography with GANs

DAI-Lab/SteganoGAN 12 Jan 2019

Image steganography is a procedure for hiding messages inside pictures.

End-to-end Trained CNN Encode-Decoder Networks for Image Steganography

marcovaldong/isgan 20 Nov 2017

All the existing image steganography methods use manually crafted features to hide binary payloads into cover images.

Deep residual network for steganalysis of digital images

albblgb/Deep-Steganalysis IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2018

Steganography detectors built as deep convolutional neural networks have firmly established themselves as superior to the previous detection paradigm - classifiers based on rich media models.

Multi-Image Steganography Using Deep Neural Networks

JapsimarSinghWahi/DeepSteganography 2 Jan 2021

Steganography is the science of hiding a secret message within an ordinary public message.

Invisible Steganography via Generative Adversarial Networks

Neykah/isgan 23 Jul 2018

Nowadays, there are plenty of works introducing convolutional neural networks (CNNs) to the steganalysis and exceeding conventional steganalysis algorithms.

BASN -- Learning Steganography with Binary Attention Mechanism

adamcavendish/BASN-Learning-Steganography-with-Binary-Attention-Mechanism 9 Jul 2019

Secret information sharing through image carrier has aroused much research attention in recent years with images' growing domination on the Internet and mobile applications.

VStegNET: Video Steganography Networkusing Spatio-Temporal features andMicro-Bottleneck

aayushm107/VStegNET ? 2019

Traditional image steganography techniques hide the secret image intohigh-frequency regions of the cover images.

Destruction of Image Steganography using Generative Adversarial Networks

Uranium-Deng/Steganalysis-StegoRemoval 20 Dec 2019

Digital image steganalysis, or the detection of image steganography, has been studied in depth for years and is driven by Advanced Persistent Threat (APT) groups', such as APT37 Reaper, utilization of steganographic techniques to transmit additional malware to perform further post-exploitation activity on a compromised host.

An Automatic Cost Learning Framework for Image Steganography Using Deep Reinforcement Learning

a-pig-akab/SPAR-RL_porject journal 2020

In SPAR-RL, an agent utilizes a policy network which decomposes the embedding process into pixel-wise actions and aims at maximizing the total rewards from a simulated steganalytic environment, while the environment employs an environment network for pixel-wise reward assignment.

HiNet: Deep Image Hiding by Invertible Network

tomtomtommi/hinet ICCV 2021

Capacity, invisibility and security are three primary challenges in image hiding task.