dgl-prc

m_testing_adversatial_sample

rnn2automata

DeepEST

nrepair

Awesome-XAI

Awsome-Abstract-and-Explanation-of-Deep-Neural-Networks-

cleverhans

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

COVID-Net

COVID-Net Open Source Initiative

dgl-prc.github.io

text_attack

DNNOpAcc

ELINA

ELINA: ETH LIbrary for Numerical Analysis

eran

ETH Robustness Analyzer for Deep Neural Networks

interpretable-research

I collected some papers about interpretable CNN and reorganized them here.

learn-regex

Learn regex the easy way

learning-dtmc

natural-adversary

Generating Natural Adversarial Examples, ICLR 2018

pfa_extraction

pfd

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

RNN2DFA

Extracting minimal DFA's from well-trained RNN's

sadl

Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"

text-repair

weighted_lstar

implementation for "learning weighted deterministic automata from queries and counterexamples", neurips 2019