Welcome to our MLSecOps project. This project focuses on integrating machine learning with security operations to enhance the security of machine learning operations (MLOps). Here, you'll find a mix of code, research papers, training, useful links, and resources dedicated to MLSecOps.
We welcome contributions! Please read our Contributing Guide for details on our code of conduct, and the process for submitting pull requests to us.
Project Lead: @Benjamin-KY
Project Link: https://github.com/Benjamin-KY/MLSecOps
Group/Org | Link |
---|---|
DEFCON AI Village | https://aivillage.org/ |
ML Commons | https://mlcommons.org/ |
Turing Institute | Insert Link |
I will note two labels/metrics before each course name and link. The first is x/5 where x is the required knowledge about ML/AI in order for the content to be useful. x = 1 is the least required, x =5 is the most. The second label is Vendor-Agnostic or Vendor-Centric. Enjoy!
Difficulty Rating | Vendor-Agnostic or Vendor-Centric | Name of Course | Delivery Method | Link |
---|---|---|---|---|
1/5 | Vendor-Agnostic | OpenML Guide - Threshold to the AI Multiverse | Multi-modal | https://www.openmlguide.org/ai-portal-gun/ai-portal-gun/ |
1/5 | Vendor-Centric (TensorFlow) | Basics of machine learning with TensorFlow | Multi-modal | https://www.tensorflow.org/resources/learn-ml/basics-of-machine-learning |
1/5 | Vendor-Centric (TensorFlow) | Machine Learning Foundations | Videos | https://youtube.com/playlist?list=PLOU2XLYxmsII9mzQ-Xxug4l2o04JBrkLV&si=U67LkeKb4nMxzFWP |
2/5 | Vendor-Centric (Google) | Data science and machine learning on Cloud AI Platform | Multi-modal | https://developers.google.com/learn/topics/datascience?hl=en |
2/5 | Vendor-Centric (TensorFlow) | Machine Learning Crash Course with TensorFlow APIs | Multi-modal | https://developers.google.com/machine-learning/crash-course/ml-intro |
4/5 | Vendor-Agnostic | Neural Networks and Deep Learning | Multi-modal | http://neuralnetworksanddeeplearning.com/about.html |
4/5 | Vendor-Centric (Intel) | MLOps Professional Training Package | Multi-modal | https://learning.intel.com/developer/pages/133/mlops-professional |
Repo | Link |
---|---|
OWASP Machine Learning Security Top 10 Project | https://github.com/OWASP/www-project-machine-learning-security-top-10 |
MLSecOps Reference Repository | https://github.com/disesdi/mlsecops_references |
Repo | Link |
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A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning | https://github.com/EthicalML/awesome-production-machine-learning |
Microsoft AutoML toolkit | https://github.com/microsoft/nni |
Streamlining Energy Consumption Forecasting using MLOps | https://github.com/Philippos01/mlops-energy-forecast-thesis |
Free MLOps course from DataTalks.Club | https://github.com/DataTalksClub/mlops-zoomcamp/tree/main |
Machine Learning Ops with GitHub | https://mlops.githubapp.com/ |
Microsoft MLOps | https://github.com/microsoft/MLOps |
Learn how to design, develop, deploy and iterate on production-grade ML applications | https://github.com/GokuMohandas/mlops-course |
Repo | Link |
---|---|
Machine Learning Systems Design | https://github.com/chiphuyen/machine-learning-systems-design |
Label Studio is a multi-type data labeling and annotation tool with standardized output format | https://github.com/HumanSignal/label-studio |
This section is dedicated to profiling leading experts and influencers in the field of MLSecOps. Here, you'll find information on key individuals who are making significant contributions to the intersection of machine learning and security operations.
- Background: Diana Kelley is the Chief Information Security Officer (CISO) for Protect AI. She also serves on the boards of WiCyS, The Executive Women’s Forum (EWF), InfoSec World, CyberFuture Foundation, TechTarget Security Editorial, and DevNet AI/ML. Diana was Cybersecurity Field CTO for Microsoft, Global Executive Security Advisor at IBM Security, GM at Symantec, VP at Burton Group (now Gartner), a Manager at KPMG, CTO and co-founder of SecurityCurve, and Chief vCISO at SaltCybersecurity.
- Contributions: True thought leader in the space. Industry focus but has written on MLSecOps and adjacent domains.
- Links: LinkedIn, Website