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2022-07-24-deep_steg

深度学习 隐写术；使用神经网络以图藏图（NIPS2017），torch版本 paper：Hiding Images in Plain Sight:Deep Steganography https://papers.nips.cc/paper/2017/hash/838e8afb1ca34354ac209f53d90c3a43-Abstract.html

2022-07-24-hidden

Pytorch implementation of paper "HiDDeN: Hiding Data With Deep Networks" by Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei

2022-08-05-ut-gan

The source code of paper "An Embedding Cost Learning Framework Using GAN"

2022-08-13-fc-densenet

Fully Convolutional DenseNets for semantic segmentation.

2022-08-18-pytorch-fc-densenet

Unofficial implementations of some classical CNN backbones with pytorch

2022-08-21-distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

2022-08-26-examples-dcgan

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

2022-08-28res2net-pretrainedmodels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

2022-08-29stegan-advsteg

Steganography via adversarial training

2022-09-18-deep-image-steganography

2022-09-29-universal-deep-hiding

Official code for UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging (Accepted at NeurIPS2020).

2022-10-03dnn-watermark

Implementation of "Embedding Watermarks into Deep Neural Networks," in Proc. of ICMR'17.

2022-10-03ideas

Official pytorch implementation of paper "Image Disentanglement Autoencoder for Steganography without Embedding" (CVPR2022).

2022-10-03luangeadg-steganography

2022-10-03markovtextstego

Text steganography based on Markov chains

2022-10-03text-steganography

Steganographic text via language models

2022-10-05steganography-deep-learning

Paper implementation for "End-to-end Trained CNN Encoder-Decoder Networks for Image Steganography"

basn-learning-steganography-with-binary-attention-mechanism

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deepsteganography

Ever sent a hidden message in invisible ink to your friends? Are you intrigued by the idea of cryptic message exchange? How about using images for this exchange? Steganography is what you need! It is one of the techniques of encryption and over the years, steganography has been used to encode a lower resolution image into a higher resolution image. But steganography using naive methods, like LSB manipulation, is susceptible to statistical analysis. Our model extends existing deep learning research for encoding multiple secret images onto a single cover by leveraging convolutional neural networks based deep learning architectures. DeepSteg allows senders to embed up to three secret images onto a single cover using an encoder network and then have multiple decoder networks to obtain the embedded secrets.

image-encryption

An Image Encryption Scheme Based on Chaotic Logarithmic Map and Key Generation using Deep CNN

lqllqllql

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

repvgg

RepVGG: Making VGG-style ConvNets Great Again

resnet_models

Models and examples built with TensorFlow

rnn-sm

[T-IFS] RNN-SM: Fast Steganalysis of VoIP Streams Using Recurrent Neural Network

spatial-image-steganography-based-on-generative-adversarial-network

spec_resnet

Spectrogram is selected as preprocessing feature of audio clips and a feature representation method based on deep residual network (Spec-ResNet) is proposed to detect audio steganography.

steganalysis_with_cnn_yedroudj-net

Steganalysis based deep learning

steganogan

SteganoGAN is a tool for creating steganographic images using adversarial training.