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a2snn

Description not added yet, pending acceptance of paper.

adversarial-robustness-toolbox

Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

adversarial_attack

at_he

awesome-adversarial-example

Papers of Adversarial Example

awesome-federated-learning

A collection of research papers categorized into broad topics in federated learning.

awesome-ml-model-compression

Awesome machine learning model compression research papers, tools, and learning material.

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

backdoor-learning-resources

A curated list of backdoor learning resources

badnet

A simple implementation of BadNets on MNIST

baselines-adv_defence

blackbox-attacks-bandits-priors

Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"

bm3d

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

comdefend

The code for CVPR2019 (ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples)

comdefend_cifar10

Comdefend for dataset CIFAR10

comdefend_tensorflow

A tensorflow implementation and improvement of CVPR 2019 paper 'ComDefend'.

cvpr20-paper-to-read

CVPR20 papers to read: Adversarial Examples (AE)

darkpose

Distribution-Aware Coordinate Representation for Human Pose Estimation

dcl

Destruction and Construction Learning for Fine-grained Image Recognition

dctnet

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

defensebyattack

Code for paper "One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples." (https://arxiv.org/abs/1911.11219)

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

dynamic_adv_training

Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"

fast-weights

🏃 Implementation of Using Fast Weights to Attend to the Recent Past.

feature-distillation

Python implementation for paper: Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples

featuresqueezing

NDSS18: Detecting Adversarial Examples in Deep Neural Networks

gluon-cv

Gluon CV Toolkit

guided-denoise

The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL