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adversarial_training_cifar

Implement the PGD-AT and TRADES for robust ResNet on CIFAR-10

again

AGAIN: Adversarial Training with Attribution Span Enlargement and Hybrid Feature Fusion

atta

ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)

composite-adv

[CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, and Tsung-Yi Ho.

cvpr2023-twins

Official code for "TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization", CVPR 2023

dm-improves-at

Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

fair_robust

friendly-adversarial-training

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)

fsr

Feature Separation and Recalibration (CVPR 2023 Highlights)

generalist

CVPR 2023 generalist

las-at

Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)

max-mahalanobis-centerloss_pytorch

max-mahalanobis-training

Max Mahalanobis Training (ICML 2018 + ICLR 2020)

mma_training

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

pytorch-adversarial-training-cifar

This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.

randomized-adversarial-training

splitting-the-difference-on-adversarial-training

This repo contains the code used in the paper "Splitting the Difference on Adversarial Training" accepted to USENIX Security 24'

sub-at

[CVPR 2022 oral] Subspace Adversarial Training

trades

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

ucat

Unsupervised Cross-domain Adversarial Training