pangxiaolian

pangxiaolian's Stars

• albblgb/Deep-Steganalysis

  PyTorch implementation of the classical image steganalysis networks, compatible with both grayscale and color images, and supporting multiple image sizes.

  Language:Python493

• imagecbj/SAE-JS

  Language:Python2

• river-huang/ARWGAN

  This repository is the official PyTorch implementation of ARWGAN: attention-guided robust image watermarking model based on GAN.

  Language:Python307

• jjhuangcs/AdvINN

  Official Code of "Imperceptible Adversarial Attack via Invertible Neural Networks"

  Language:Python182

• SYSU-SCC/sysu-thesis

  中山大学 LaTeX 论文项目模板

  Language:TeX57072

• hendrycks/robustness

  Corruption and Perturbation Robustness (ICLR 2019)

  Language:Python1k145

• xiaolincoder/CS-Base

  图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com

  14.6k1.8k

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  177k51.1k

• DXQer/Cov-Pooling-Steganalytic-Network

  A fast and effective global covariance pooling network for image steganalysis in spatial domain.

  Language:Python215

• ChaoningZhang/Pseudo-Differentiable-JPEG

  Official repository for the paper "Towards Robust Data Hiding Against (JPEG) Compression: A Pseudo-Differentiable Deep Learning Approach".

  Language:Python292

• GavinChevalier/steganography

  The implementation of paper A Robust Coverless Steganography Based on Generative Adversarial Networks and Gradient Descent Approximation.

  Language:Python42

• Yang-Liu1082/InvDN

  Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).

  Language:Python18934

• QQiuyp/FIN

  This is the source code of paper FIN: Flow-based Robust Watermarking with Invertible Noise Layer for Black-box Distortions, which is received by AAAI' 23.

  Language:Python485

• lml2egg1314/UGS-TDSC

  Source code for paper "Adversarial Steganography Embedding via Stego Generation and Selection"

  Language:MATLAB63

• FangHanNUS/PIMoG-An-Effective-Screen-shooting-Noise-Layer-Simulation-for-Deep-Learning-Based-Watermarking-Netw

  This is the code for paper: ``PIMoG : An Effective Screen-shooting Noise-Layer Simulation for Deep-Learning-Based Watermarking Network. .Fang, Han, et al. Proceedings of the 30th ACM International Conference on Multimedia. 2022.

  Language:Python609

• xiangyh9988/Ste-UAP

  Project to repoduce "Steganographic universal adversarial perturbations".

  Language:Python31

• jhayes14/UAN

  Universal Adversarial Networks

  Language:Python336

• mseitzer/pytorch-fid

  Compute FID scores with PyTorch.

  Language:Python3.4k513

• mathcbc/advGAN_pytorch

  a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).

  Language:Python26467

• ldz666666/Style-atk

  Author implementation of Exploring Adversarial Fake Images on Face Manifold (CVPR 2021 oral)

  Language:Python311

• zjwei-nuist/SRAE

  Self-recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks

  Language:Python162

• suro119/CAE

  Lossy Image Compression with Compressive Autoencoders

  Language:Python61

• megvii-model/HINet

  Language:Python36761

• hejingwenhejingwen/CResMD

  (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration

  Language:Python958

• varshakishore/FNNS

  Language:Jupyter Notebook482

• murufeng/FUIR

  A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐

  Language:Python29231

• Lemok00/IDEAS

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

  Language:Python467

• kaix90/DCTNet

  Language:Python46499

• mmacosha/LapStyle

  This repository implements LapStyle model

  Language:Python5

• PaddlePaddle/PaddleGAN

  PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

  Language:Python7.9k1.2k