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adaptive-auto-attack

adv_reprogramming

adversarial-detection

Code and experiments for the adversarial detection paper

adversarial-examples-reading-list

This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.

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

adversarialattacks

adversarialattackspytorch

PyTorch implementation of adversarial attacks.

arxiv_crawler

ask

ASK-Attack and ASK-Defense

attack-and-defense-methods

A curated list of papers on adversarial machine learning (adversarial examples and defense methods).

auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

bib_adversarial_examples

Literature collection of adversarial examples.

blackboxbench

cd-vae

[NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"

clip

Contrastive Language-Image Pretraining

competence_estimation

cutmix

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

deep_knn

PyTorch Implementation of the Deep k-Nearest-Neighbors algorithm, https://arxiv.org/abs/1803.04765

denoising-diffusion-flax

Implementing the Denoising Diffusion Probabilistic Model in Flax

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

detecting-adversarial-samples

Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)

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.

dknn_attack

Demonstrate attacks on kNN and Deep kNN

evaluating-adaptive-test-time-defenses

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

guideddiffusionpur

icml19_public