adversarial-training

lonePatient/BERT-NER-Pytorch

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

ylsung/pytorch-adversarial-training

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

liuyukid/transformers-ner

Pytorch-Named-Entity-Recognition-with-transformers

csdongxian/AWP

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

Kim-Minseon/RoCL

Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)

liangchen527/SLADD

Official code for Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (CVPR 2022 oral)

zhegan27/VILLA

Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part

tml-epfl/understanding-fast-adv-training

Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

imrahulr/adversarial_robustness_pytorch

Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch

calico/scnym

Semi-supervised adversarial neural networks for classification of single cell transcriptomics data

davide97l/rl-policies-attacks-defenses

Adversarial attacks on Deep Reinforcement Learning (RL)

Haichao-Zhang/FeatureScatter

Feature Scattering Adversarial Training (NeurIPS19)

ccsasuke/adan

Language-Adversarial Training for Cross-Lingual Text Classification (TACL)

val-iisc/SDAT

[ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",

dongyp13/Adversarial-Distributional-Training

Adversarial Distributional Training (NeurIPS 2020)

searchableai/KitanaQA

KitanaQA: Adversarial training and data augmentation for neural question-answering models

yuta-hi/pytorch_bayesian_unet

Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)

dedeswim/vits-robustness-torch

Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]

alinlab/consistency-adversarial

Consistency Regularization for Adversarial Robustness (AAAI 2022)

VITA-Group/Sandwich-Batch-Normalization

[WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tianlong Chen and Zhangyang Wang

yanaiela/demog-text-removal

yuta-hi/bayesian_unet

Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)

asif-hanif/vafa

[MICCAI 2023] Official code repository of paper titled "Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation" accepted in MICCAI 2023 conference.

sukrutrao/Adversarial-Patch-Training

Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

dvlab-research/Robust-Semantic-Segmentation

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

sayakpaul/par-cvpr-21

Contains notebooks for the PAR tutorial at CVPR 2021.

AlbertMillan/adversarial-training-pytorch

Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.

nmndeep/revisiting-at

Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models"

BorealisAI/mma_training

Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"

dvlab-research/LBGAT

Learnable Boundary Guided Adversarial Training (ICCV2021)

HangJie720/Ensemble_Adversarial_Attack

Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets

LinZichuan/AdMRL

Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)

msrocean/mockingbird

Keras with Tensorflow implementation of our paper "Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces" which is published in IEEE Transactions on Information Forensics and Security (TIFS).

TLMichael/Delusive-Adversary

[NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training

cstsunfu/dlk

A PyTorch Based Deep Learning Quick Develop Framework. One-Stop for train/predict/server/demo