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resilient-ml-research-platform's Introduction

Resilient-ML-Research-Platform

(This doc is under construction)

This is a web platform to demo Machine Learning as a Service (MLaaS) on security researches. It has a machine learning (ML) pipeline to analyze data and also is a portal for backend user to emulate uploaded binaries. It demos adversarial ML and countermeasures.

Getting Started

Prerequisites

  • Apache Hadoop & Spark
  • MongoDB
  • Scikit-Learn, Numpy, Keras and related Python packages
  • Django & SQLite
  • for Python 2.7 only

Installing

  • Please follow the Setup_Guide_CentOS7.pdf for installation
  • Modify web files app.config, myml/settings.py, atdml/settings.py for Hadoop/Spark/web/MongoDB hostnames

Design Diagrams

Architecture:

Software Stack:

Note: backend robots and DNN worker are not included in this project.

License

This project is licensed under the Apache 2.0

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