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advdrop

Code for "Adversarial attack by dropping information." (ICCV 2021)

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

adversarial-distributional-training

Adversarial Distributional Training (NeurIPS 2020)

adversarialnetspapers

Awesome paper list with code about generative adversarial nets

cifar10-c-eval

Testing a model performance for CIFAR10-C

cleverhans

A library for benchmarking vulnerability to adversarial examples

deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

distributionally-adversarial-attack

AAAI 2019 oral presentation

efficient-decision-based-black-box-adversarial-attacks-on-face-recognition

evademl-zoo

Benchmarking and Visualization Tool for Adversarial Machine Learning

ewr-pgd

white box adversarial attack

fgsm

Simple pytorch implementation of FGSM and I-FGSM

idcardgenerator

身份证图片生成工具 generate an id card picture

mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

mydocker

ocr_dataset

收集并整理有关OCR的数据集并统一标注格式，以便实验需要

ods

Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"

pytorch-adversarial-training

PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.

sign-flip-attack

Pytorch Implementation of Sign Flip Attack(ECCV2020)

sparseevoattack.github.io