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adversarial

A repository for the generation, visualization, and evaluation of patch based adversarial attacks on the yoloV3 object detection system

adversarial-examples

adversarial-examples-and-where-to-find-them

adversarial-patch

PyTorch implementation of adversarial patch

adversarial-patch-training

Code for the paper: Adversarial Training against Location-Optimized Adversarial Patches. ECCV CVCOPS 2020 (to appear)

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

advhat

AdvHat: Real-world adversarial attack on ArcFace Face ID system

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

boundary-attack

Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).

brendel_bethge_attack

Notes on using the Brendel & Bethge attack with Foolbox and Cleverhans

cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

cross-domain-perturbations

Official repository for "Cross-Domain Adversarial Perturbations" (NeuRIPS 2019)

curls-whey

The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fooling_network_interpretation

Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification

ghost-network

Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)

gnn-algorithms

图神经网络相关算法详述及实现

god-of-bigdata

大数据面试题，大数据成神之路开启...Flink/Spark/Hadoop/Hbase/Hive...

imaginaire

NVIDIA PyTorch GAN library with distributed and mixed precision support

intermediate-level-attack

[ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

modelbiasedattack

models

Models and examples built with TensorFlow

mtrobust

nattack

patch-wise-iterative-attack

Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.

perceptualsensitivegan

The repo for AAAI2019 paper 'Perceptual-Sensitive GAN for Generating Adversarial Patches'.