Image Steganography
18 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
Benchmarks
These leaderboards are used to track progress in Image Steganography
Latest papers
DKiS: Decay weight invertible image steganography with private key
yanghangai/dkis
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Image steganography, defined as the practice of concealing information within another image, traditionally encounters security challenges when its methods become publicly known or are under attack.
PRIS: Practical robust invertible network for image steganography
yanghangai/pris
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Most of the existing image steganography methods have low hiding robustness when the container images affected by distortion.
Joint adjustment image steganography networks
zhangle408/Joint-adjustment-image-steganography-networks
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Signal Processing: Image Communication 2023
Thus, the security and quality of stego and revealed secret images still have much room for promotion, especially for large-capacity image steganography.
Payload-Independent Direct Cost Learning for Image Steganography
a-pig-akab/PICO-RL_porject
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journal 2023
This framework directly learns universal costs that can be applied to any payload.
Learning Iterative Neural Optimizers for Image Steganography
cxy1997/LISO
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Image steganography is the process of concealing secret information in images through imperceptible changes.
Deep adaptive hiding network for image hiding using attentive frequency extraction and gradual depth extraction
zhangle408/Deep-adaptive-hiding-network
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Neural Computing and Applications 2023
Image hiding secures information security in multimedia communication.
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification
Instead of learning fixed triggers for the target classes from the training set, DT-IBA can dynamically generate new triggers for any unknown identities.
Fixed Neural Network Steganography: Train the images, not the network
varshakishore/FNNS
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ICLR 2022
Recent attempts at image steganography make use of advances in deep learning to train an encoder-decoder network pair to hide and retrieve secret messages in images.
Multi-Image Steganography Using Deep Neural Networks
JapsimarSinghWahi/DeepSteganography
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Steganography is the science of hiding a secret message within an ordinary public message.
HiNet: Deep Image Hiding by Invertible Network
tomtomtommi/hinet
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ICCV 2021
Capacity, invisibility and security are three primary challenges in image hiding task.
