junzhouye

junzhouye's Stars

• jindongwang/transferlearning-tutorial

  《迁移学习简明手册》LaTex源码

  Language:TeX2.5k495

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.5k3.8k

• VITA-Group/Adversarial-Contrastive-Learning

  [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

  Language:Python11316

• MadryLab/robustness

  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

  Language:Jupyter Notebook921182

• Trusted-AI/adversarial-robustness-toolbox

  Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

  Language:Python4.9k1.2k

• ylsung/pytorch-adversarial-training

  PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.

  Language:Python24566

• seominseok0429/label-smoothing-visualization-pytorch

  When Does Label Smoothing Help?_pytorch_implementationimp

  Language:Python12514

• implicitDeclaration/similarity

  Language:Python4

• yuanchun-li/ModelDiff

  Language:Python176

• giladcohen/NNIF_adv_defense

  Detection of adversarial examples using influence functions and nearest neighbors

  Language:Python328

• THUYimingLi/BackdoorBox

  The open-sourced Python toolbox for backdoor attacks and defenses.

  Language:Python47875

• openvinotoolkit/open_model_zoo

  Pre-trained Deep Learning models and demos (high quality and extremely fast)

  Language:Python4.1k1.4k

• qiuweimin1332499/AdvGAN_cifar10

  a pytorch version of AdvGAN for cifar10 dataset

  Language:HTML112

• bubbliiiing/classification-pytorch

  这是各个主干网络分类模型的源码，可以用于训练自己的分类模型。

  Language:Python40681

• PolarisShi/distillation

  Language:Python7525

• Madanfeng/advGAN_tf2

  Language:Python123

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.1k3k

• kuangliu/pytorch-cifar

  95.47% on CIFAR10 with PyTorch

  Language:Python6k2.2k

• facebookresearch/mixup-cifar10

  mixup: Beyond Empirical Risk Minimization

  Language:Python1.2k230

• mli/paper-reading

  深度学习经典、新论文逐段精读

  27.5k2.5k

• cleverhans-lab/entangled-watermark

  Language:Python4410

• yuezunli/ISSBA

  Invisible Backdoor Attack with Sample-Specific Triggers

  Language:Python9317

• advboxes/AdvBox

  Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

  Language:Jupyter Notebook1.4k265

• QwQ2000/Activation-Attack-Pytorch

  CVPR 2019 Paper——Feature Space Perturbations Yield More Transferable Adversarial Examples re-implementation.

  Language:Python111

• luanfujun/deep-photo-styletransfer

  Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

  Language:Matlab10k1.4k

• anuragarnab/adversarial-attacks

  Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

  Language:Python10133

• Deeachain/Segmentation-Pytorch

  Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet

  Language:Python47569

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks]

  Language:Python1.9k353

• natanielruiz/disrupting-deepfakes

  🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks

  Language:Python32447

• genforce/interfacegan

  [CVPR 2020] Interpreting the Latent Space of GANs for Semantic Face Editing

  Language:Python1.5k281