Hinet: Deep image hiding by invertible network
Image hiding aims to hide a secret image into a cover image in an imperceptible way, and
then recover the secret image perfectly at the receiver end. Capacity, invisibility and security …
then recover the secret image perfectly at the receiver end. Capacity, invisibility and security …
DeepMIH: Deep invertible network for multiple image hiding
Multiple image hiding aims to hide multiple secret images into a single cover image, and
then recover all secret images perfectly. Such high-capacity hiding may easily lead to …
then recover all secret images perfectly. Such high-capacity hiding may easily lead to …
Hiding images in plain sight: Deep steganography
S Baluja - Advances in neural information processing …, 2017 - proceedings.neurips.cc
Steganography is the practice of concealing a secret message within another, ordinary,
message. Commonly, steganography is used to unobtrusively hide a small message within …
message. Commonly, steganography is used to unobtrusively hide a small message within …
Hiding images within images
S Baluja - IEEE transactions on pattern analysis and machine …, 2019 - ieeexplore.ieee.org
We present a system to hide a full color image inside another of the same size with minimal
quality loss to either image. Deep neural networks are simultaneously trained to create the …
quality loss to either image. Deep neural networks are simultaneously trained to create the …
Steganerf: Embedding invisible information within neural radiance fields
Recent advancements in neural rendering have paved the way for a future marked by the
widespread distribution of visual data through the sharing of Neural Radiance Field (NeRF) …
widespread distribution of visual data through the sharing of Neural Radiance Field (NeRF) …
High-capacity convolutional video steganography with temporal residual modeling
Steganography represents the art of unobtrusively concealing a secret message within
some cover data. The key scope of this work is about high-capacity visual steganography …
some cover data. The key scope of this work is about high-capacity visual steganography …
Lossless image steganography based on invertible neural networks
L Liu, L Tang, W Zheng - Entropy, 2022 - mdpi.com
Image steganography is a scheme that hides secret information in a cover image without
being perceived. Most of the existing steganography methods are more concerned about the …
being perceived. Most of the existing steganography methods are more concerned about the …
Backdoor Attack on Deep Learning-Based Medical Image Encryption and Decryption Network
Medical images often contain sensitive information, and one typical security measure is to
encrypt medical images prior to storage and analysis. A number of solutions, such as those …
encrypt medical images prior to storage and analysis. A number of solutions, such as those …
[HTML][HTML] Proactive image manipulation detection via deep semi-fragile watermark
Malicious image tampering refers to intentionally manipulating images to make them harmful
to the owners or users. It has become one of the most severe challenges to image …
to the owners or users. It has become one of the most severe challenges to image …
Multitask identity-aware image steganography via minimax optimization
High-capacity image steganography, aimed at concealing a secret image in a cover image,
is a technique to preserve sensitive data, eg, faces and fingerprints. Previous methods focus …
is a technique to preserve sensitive data, eg, faces and fingerprints. Previous methods focus …