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Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

DGANStego

robustness image steganography model based on double GAN

zero-shot-image-to-text

Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic

Generative-Adversarial-Text-to-Image-Synthesis-Tensorflow

Tensorflow implementation of Generative Adversarial Text to Image Synthesis for MNIST handwritten digit dataset

msg-stylegan-tf

MSG StyleGAN in tensorflow

bigan

code for "Adversarial Feature Learning"

advsteg

Steganography via adversarial training

YeNet-Tensorflow

Tensorflow implementation of "Deep Learning Hierarchical Representation for Image Steganalysis"

Pytorch-Implementation-of-YeNet

A pytorch implementation of Deep Learning Hierarchical Representation for Image Steganalysis (YeNet)

YeNet-Pytorch

Pytorch implementation of "Deep Learning Hierarchical Representations for Image Steganalysis"

Learning-Image-Steganography

List for learning image steganography

Adversarial-Embedding

text-to-image-using-GAN

This repository consists of code that is used to convert text-embeddings into Images using Generative Adversarial Networks(GAN)

Steganography_GANs

Image steganography usings Generative Adverserial Networks

steGANography

GAN-based steganography for message hiding (CS 236)

text-steganography

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.

steganography

hiding an image or text within another image

TxtStego-deep-learning

Text Steganography Using Deep Neural Network

Steganography

Hiding Text and Image inside an Image

ImageNet-Sketch

ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale

adversarial_examples

对抗样本

DCGAN-for-Steganography

My implementation of y-DCGAN,which can automatically learn embedding change probability for digital images.

CAIS

The implementation of "Component Aware Image Steganography via Adversarial Global-and-Part Checking"

Seek-and-Hide-Adversarial-Steganography-via-Deep-Reinforcement-Learning

adversarial-steganography

Awesome-Universal-Adversarial-Perturbations

Universal-Deep-Hiding

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

Text-Steganography

When-Deep-Learning-Meets-Steganography-Protecting-Inference-Privacy-in-the-Dark