Link to MLsploit Main Project

MLsploit Module: Resilient-ML-Research-Platform

This is a web platform to demo Machine Learning as a Service (MLaaS) on security researches. It has a machine learning (ML) pipeline to build and tune models. It also has a portal to demo adversarial ML and countermeasures.

• MLaaS:
  • ML classifier creation and inference
• MLsploit:
  • Adversarial ML and demos

Getting Started

Dependancies

• CentOS or Ubuntu
• Apache Hadoop, Spark & MongoDB
• Python 2.7 and related Python packages, e.g. Scikit-Learn, Numpy, Keras etc
• Django & SQLite
• Docker (optional for demo containers)

Installation

• Demo cluster by Docker containers - tiny bigdata platform on your Linux laptop:

docker login                    # Login to Docker Hub by your id & password
cd ./docker                     # cd to folder "docker" in git cloned project
chmod 755 *.sh                  # Change scripts to be executable
sudo ./setup_docker_linux.sh    # Create users on Linux and copy related files
./run_container_linux.sh        # Pull images from Docker Hub and run 4 containers:
                                #   HDFS/Spark master & slave1, mongo & Django web 
                                # Access at http://<your machine dns>:8000/ id=demo pwd=demo123

• For full installation, please follow the Setup_Guide_CentOS7.pdf
  • Modify web configuation files for setting Hadoop/Spark/web/MongoDB hostnames
    • app.config
    • myml/settings.py
    • atdml/settings.py etc.

Design Diagrams

Data Flow:

Software Stack:

License

This project is licensed under the Apache 2.0