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adversarial-robustness-toolbox

Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

alibi-detect

Algorithms for outlier, adversarial and drift detection

apollo

An open autonomous driving platform

autonomousvehiclepaper

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causal-intervention-ae-wadvimg

certifiedrelurobustness

Efficient Robustness Verification for ReLU networks (DEPRECATED, don't use, see description)

clever-robustness-score

Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach,” ICLR 2018 ​​​​​​​

cnn-cert

Codes for reproducing the experimental results in "CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks", published at AAAI 2019

crown-robustness-certification

CROWN: A Neural Network Verification Framework for Networks with General Activation Functions

deeplearning.ai

Some work of Andrew Ng's course on Coursera

deepred

Python implementation of DeepRED

diffai

A certifiable defense against adversarial examples by training neural networks to be provably robust

eran

ETH Robustness Analyzer for Deep Neural Networks

failing-loudly

Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.11953

falsifcpsml

Compositional falsification framework for cyber-pysical systems with machine learning components

fdr

lime

Lime: Explaining the predictions of any machine learning classifier

measuring-robustness-of-dnn

mnist_challenge

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

netron

Visualizer for neural network, deep learning and machine learning models

nn-dependability-kit

Toolbox for software dependability engineering of artificial neural networks

obfuscated-gradients

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

popqorn

An Algorithm to Quantify Robustness of Recurrent Neural Networks

soft-decision-tree

pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"

squeezesegv2

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud