Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for adversarial training
adversarial-training
x
59 search results found
Styletts2
⭐
3,464
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
Bert Ner Pytorch
⭐
1,666
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
Pytorch Adversarial Training
⭐
166
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
Rocl
⭐
151
Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)
Scnym
⭐
71
Semi-supervised adversarial neural networks for classification of single cell transcriptomics data
Understanding Fast Adv Training
⭐
67
Understanding and Improving Fast Adversarial Training [NeurIPS 2020]
Kitanaqa
⭐
47
KitanaQA: Adversarial training and data augmentation for neural question-answering models
Villa
⭐
46
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": UNITER adversarial training part
Adan
⭐
44
Language-Adversarial Training for Cross-Lingual Text Classification (TACL)
Vafa
⭐
39
[MICCAI 2023] Official code repository of paper titled "Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation" accepted in MICCAI 2023 conference.
Featurescatter
⭐
39
Feature Scattering Adversarial Training
Sdat
⭐
38
[ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",
Adversarial_robustness_pytorch
⭐
37
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
Consistency Adversarial
⭐
36
Consistency Regularization for Adversarial Robustness (AAAI 2022)
Sandwich Batch Normalization
⭐
35
[WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tianlong Chen and Zhangyang Wang
Revisiting At
⭐
31
Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models"
Adversarial Distributional Training
⭐
31
Adversarial Distributional Training (NeurIPS 2020)
Demog Text Removal
⭐
29
Vits Robustness Torch
⭐
29
Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
Lbgat
⭐
29
Learnable Boundary Guided Adversarial Training (ICCV2021)
Rl Policies Attacks Defenses
⭐
26
Adversarial attacks on Deep Reinforcement Learning (RL)
Admrl
⭐
23
Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)
Sladd
⭐
21
Official code for Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (CVPR 2022 oral)
Delusive Adversary
⭐
20
[NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
Catastrophic Overfitting
⭐
20
Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]
Adversarial Patch Training
⭐
18
Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.
Robrank
⭐
18
Adversarial Attack and Defense in Deep Ranking, arXiv:2106.03614
Fsr
⭐
18
Feature Separation and Recalibration (CVPR 2023 Highlights)
Adv Part Model
⭐
18
Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)
Lxmert Advtrain
⭐
17
Research Code for NeurIPS 2020 Spotlight paper "Large-Scale Adversarial Training for Vision-and-Language Representation Learning": LXMERT adversarial training part
Robust Semantic Segmentation
⭐
17
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation (ICCV2021)
Domain Shift Robustness
⭐
16
Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
Mockingbird
⭐
16
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).
Hat
⭐
14
Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
Adversarial Ml 101
⭐
13
A beginner friendly repository for getting started with adversarial machine learning in PyTorch
Robust Finetuning
⭐
13
Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
Adversarial Examples In Deep Learning
⭐
12
Shows how to create basic image adversaries, and train adversarially robust image classifiers (to some extent).
Adv Reid
⭐
12
Metric Adversarial Attacks and Defense
Domain Adaptation
⭐
11
Domain Adaptation with Adversarial Training and Graph Embeddings
Reetoolbox
⭐
11
Toolbox for measuring adversarial robustness to many transforms
Ensemble_adversarial_attack
⭐
10
Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets
Bayesian_unet
⭐
10
Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)
Da Alone Improves At
⭐
10
data augmentation alone can improve adversarial training
Deepdomainadaptation
⭐
10
Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DANN (domain-adversarial neural network), Deep JDOT (joint distribution optimal transportation)
Double Win Quant
⭐
9
[ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inference" by Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin
Atcl
⭐
9
[NeurIPS 2022 Spotlight] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"
Gairat Lsa
⭐
9
Evaluating GAIRAT robustness using Logit Scaling Attack.
Vanilla Adversarial Training
⭐
8
vanilla training and adversarial training in PyTorch
Undaw
⭐
8
Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance
Cmsalgan_pytorch
⭐
8
Official implementation of "cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks" (IEEE TMM 2020)
Transferattacksurrogates
⭐
7
The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability". We study how to train surrogates model for boosting transfer attack.
Privacyattack_at_fl
⭐
7
A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.
At_papers
⭐
7
Must-read papers on Adversarial training for neural networks!
Apart
⭐
6
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training
Sparseadversarialtraining
⭐
5
Code for "Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling" [ICML 2021]
Robust Representation Matching
⭐
5
Code for our USENIX Security '22 paper: Transferring Adversarial Robustness Through Robust Representation Matching.
Bcp
⭐
5
Lipschitz-Certifiable Training with a Tight Outer Bound [NeurIPS 2020] | BCP (Box Constraint Propagation) | ⚡💪🛡️
Pytorch_bayesian_unet
⭐
5
Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)
Chapter11
⭐
5
Chapter 11: Transfer Learning/Domain Adaptation
1-59 of 59 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.