Popular GitHub Repositories for Adversarial Training

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

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

Pytorch-Named-Entity-Recognition-with-transformers

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

[CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts

Feature Scattering Adversarial Training (NeurIPS19)

Adversarial Distributional Training (NeurIPS 2020)

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

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

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

Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)

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

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.

Fantastic Robustness Measures: The Secrets of Robust Generalization [NeurIPS 2023]

Learnable Boundary Guided Adversarial Training (ICCV2021)

Experiments with distributionally robust optimization (DRO) for deep neural networks

Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off

Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]

A beginner friendly repository for getting started with adversarial machine learning in PyTorch

Adversarial Attack and Defense in Deep Ranking, T-PAMI, 2024