Table of Contents

1. Adversarial ML 101
2. Adversarial ML Threat Matrix
   • Why Adversarial ML Threat Matrix?
   • Structure of Adversarial ML Threat Matrix
   • Things to keep in mind before you use the framework
   • [Adversarial ML Threat Matrix]
3. Case Studies Page
   • ClearviewAI Misconfiguration
   • GPT-2 Model Replication
   • ProofPoint Evasion
   • Tay Poisoning
   • Microsoft Red Team Exercise
   • Bosch Team Experience with EdgeAI
   • MITRE -- Physical Adversarial Examples -- TBD
4. Contributors
5. Feedback
6. Contact Us

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The goal of this project is to position attacks on ML systems in an ATT&CK-style framework so that security analysts can orient themselves in this new and upcoming threats.

Contributors

Organization	Contributors
Microsoft	Ram Shankar Siva Kumar, Hyrum Anderson, Will Pearce, Suzy Shapperle, Blake Strom, Madeline Carmichael, Matt Swann, Mark Russinovich, Nick Beede, Kathy Vu, Andi Comissioneru, Sharon Xia, Mario Goertzel, Jeffrey Snover, Derek Adam, Deepak Manohar, Bhairav Mehta, Peter Waxman, Abhishek Gupta, Ann Johnson
MITRE	Mikel D. Rodriguez, Christina E Liaghati, Keith R. Manville, Michael R Krumdick
Bosch	Manojkumar Parmar
IBM	Pin-Yu Chen
NVIDIA	David Reber Jr., Keith Kozo, Christopher Cottrell, Daniel Rohrer
Airbus	Adam Wedgbury
Deep Instinct	Nadav Maman
TwoSix	David Slater
University of Toronto	Adelin Travers, Jonas Guan, Nicolas Papernot
Cardiff University	Pete Burnap
Software Engineering Institute/Carnegie Mellon University	Nathan M. VanHoudnos
Berryville Institute of Machine Learning	Gary McGraw, Harold Figueroa, Victor Shepardson, Richie Bonett

Feedback and Getting Involved

The Adversarial ML Threat Matrix is a first-cut attempt at collating a knowledge base of how ML systems can be attacked. We need your help to make it holistic and fill in the missing gaps!

Corrections and Improvement

• For immediate corrections, please submit a Pull Request with suggested changes! We are excited to make this system better with you!
• For a more hands on feedback session, we are partnering with Defcon's AI Village to open up the framework to all community members to get feedback and make it better. Current thinking is to have this event circa Jan/Feb 2021.Please register here for the workshop for more hands on feedback session

Join our Adversarial ML Threat Matrix Google Group

• For discussions around Adversarial ML Threat Matrix, we invite everyone to join our Google Group here
• If you want to access this forum using your corporate email (as opposed to your gmail)
  • Open your browser in Incognito mode.
  • Once you sign up with your corporate, and complete captcha, you may
  • Get an error, ignore it!
  • Also note, emails from Google Forums generally go to "Other"/"Spam" folder. So, you may want to create a rule to go into your inbox instead

Contact Us

For corrections and improvement, see Feedback

• Our public email group is advmlthreatmatrix@googlegroups.com. This emails all the contributors.
• For private questions/comments, please email: Ram.Shankar@microsoft.com and Mikel@mitre.org