advmlthreatmatrix/readme.md

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# Table of Contents
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1. [Adversarial ML 101](/pages/adversarial-ml-101.md)
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2. [Adversarial ML Threat Matrix](/pages/adversarial-ml-threat-matrix.md)
- [Why Adversarial ML Threat Matrix?](/pages/why-adversarial-ml-threat-matrix.md)
- [Structure of Adversarial ML Threat Matrix](/pages/structure-of-adversarial-ml-threat-matrix.md)
- [Things to keep in mind before you use the framework](/pages/things-to-keep-in-mind-before-you-use-the-framework.md)
- [Adversarial ML Threat Matrix]
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8. [Case Studies Page](/pages/case-studies-page.md)
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- [ClearviewAI Misconfiguration](/pages/case-studies-page.md#clearviewai-misconfiguration)
- [GPT-2 Model Replication](/pages/case-studies-page.md#gpt-2-model-replication)
- [ProofPoint Evasion](/pages/case-studies-page.md#proofpoint-evasion)
- [Tay Poisoning](/pages/case-studies-page.md#tay-poisoning)
- [Microsoft Red Team Exercise](/pages/case-studies-page.md#microsoft-red-team-exercise)
- [Bosch Team Experience with EdgeAI ](/pages/case-studies-page.md#bosch-team-experience-with-edgeai)
- [MITRE -- Physical Adversarial Examples -- TBD](/pages/case-studies-page.md#mitre-physical-adversarial-examples-tbd)
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5. [Contributors](#contributors)
6. [Feedback and Contact Information](#feedback-and-contact-information)
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----
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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.
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## Contributors
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Want to get involved? See [Feedback and Contact Information](#feedback-and-contact-information)
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| **Organization** | **Contributors** |
| :--- | :--- |
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| 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 |
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| 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|
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## Feedback and Contact Information
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!
Please submit a Pull Request with suggested changes! We are excited to make this system better with you!
**Join our Adversarial ML Threat Matrix Google Group**
- For discussions around Adversarial ML Threat Matrix, we invite everyone to join our Google Group [here](https://groups.google.com/forum/#!forum/advmlthreatmatrix/join)
- 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
**Want to work with us on the next iteration of the framework?**
- 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
**Contact Information**
- If you have questions/comments that you'd like to discuss privately,
please email: <Ram.Shankar@microsoft.com> and <Mikel@mitre.org>