Code for Deep Android Malware Detection paper

Mutation system for Java programs, including OO mutation operators.

Setup and customize deep learning environment in seconds.

Research papers and tools on Android

Detecting Adversarial Examples in Deep Neural Networks

Deep Learning for humans

An Open Source Machine Learning Framework for Everyone

Models and examples built with TensorFlow

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

An evolutionary framework for evading machine learning-based malware classifiers.

repository to research & share the machine learning articles

Vision based algorithms for falsification of convolutional neural networks

Cuckoo Sandbox is an automated dynamic malware analysis system

Starcraft AI Research Dataset

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

DeepXplore code release

Tools to work with android .dex and java .class files

DroidSafe Android Static Analysis Source Repository

A collection of samples demonstrating different frameworks and techniques for automated testing

An embedded HTTP server for performing queries and test automation

Automated Functional testing for Android based on cucumber

Calabash for iOS

Automated Functional testing for Android using cucumber

Programmable UI-Automation Framework for Dynamic App Analysis

Dynamic Symbolic Execution of Android Apps

Symbolic/concolic execution of Android apps

A collection of all android.jar files for the different platform versions.