Adversarial Machine Learning's repositories
synthesizing_robust_adversarial
PyTorch implementation of Expectation over Transformation
SpectralDef_Framework
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
vp-for-adversarial-robustness
Visual Prompting for Adversarial Robustness
auto-attack
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
adversarialattackspytorch
PyTorch implementation of adversarial attacks.
backdoor-toolbox
A compact toolbox for backdoor attacks and defenses.
CLIP
Contrastive Language-Image Pretraining
cutmix
a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
denoising-diffusion-flax
Implementing the Denoising Diffusion Probabilistic Model in Flax
DiffAttack
An unrestricted attack based on diffusion models that can achieve both good transferability and imperceptibility.
DiffPure
A new adversarial purification method that uses the forward and reverse processes of diffusion models to remove adversarial perturbations.
fast-DiT
Improved PyTorch Implementation of "Scalable Diffusion Models with Transformers"
foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
MALT
MALT is a attack method utilizing pre-attack targeting method to speed up and improve the state of the art AutoAttack. Fully presented in the paper. the paper
pytorch-ddpm-cifar10
Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models
robust-ood-detection
Robust Out-of-distribution Detection in Neural Networks
robustness
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
tf_to_pytorch_model
Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks.
TRADES
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
vim
Official repository for CVPR2022 publication, ViM: Out-Of-Distribution with Virtual-logit Matching
visual_prompting
Exploring Visual Prompts for Adapting Large-Scale Models