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This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.
Performing C&W attack on Recurrent Neural Network
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Concolic Testing for Deep Neural Networks
DeepCover: Uncover the truth behind AI
A simple and accurate method to fool deep neural networks
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
DeepInspect code release
A PyTorch implementation of DeepSpeech and DeepSpeech2.
A systematic testing tool for automatically detecting erroneous behaviors of DNN-driven vehicles
DeepXplore code release
DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems
Simple Tensorflow implementation of metrics for GAN evaluation (Inception score, Frechet-Inception distance, Kernel-Inception distance)
Code for the paper "Improved Techniques for Training GANs"
Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.
IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.
Diversity Promoting Adversarial Attacks for Increasing Neuron Coverage
Robust evasion attacks against neural network to find adversarial examples
RNN-Test: Generic Adversarial Testing Framework for Recurrent Neural Network Systems
A visualization tool for understanding and debugging RNNs
RobOT Robustness-Oriented Testing for Deep Learning Systems
Code release of a paper "Guiding Deep Learning System Testing using Surprise Adequacy"
A library for performing coverage guided fuzzing of neural networks
Coverage-Guided Testing of Long Short-Term Memory (LSTM) Networks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.