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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. [Why Adversarial ML Threat Matrix?](/pages/why-adversarial-ml-threat-matrix.md)
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3. [Structure of Adversarial ML Threat Matrix](/pages/structure-of-adversarial-ml-threat-matrix.md)
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4. [Things to keep in mind before you use the framework](/pages/things-to-keep-in-mind-before-you-use-the-framework.md)
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5. [Contributors](/pages/contributors.md)
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6. [Feedback and Contact Information](/pages/feedback.md)
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7. [Adversarial ML Threat Matrix](/pages/adversarial-ml-threat-matrix.md)
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8. [Case Studies Page](/pages/case-studies-page.md)
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- [ClearviewAI Misconfiguration](/pages/case-studies.md#clearviewai-misconfiguration)
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- [GPT-2 Model Replication](/pages/case-studies.md#gpt-2-model-replication)
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- [ProofPoint Evasion](/pages/case-studies.md#proofpoint-evasion)
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- [Tay Poisoning](/pages/case-studies.md#tay-poisoning)
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- [Microsoft Red Team Exercise](/pages/case-studies.md#microsoft-red-team-exercise)
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- [Bosch Team Experience with EdgeAI ](/pages/case-studies.md#bosch-team-experience-with-edgeai)
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- [MITRE -- Physical Adversarial Examples -- TBD](/pages/case-studies.md#mitre-physical-adversarial-examples-tbd)
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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
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in this new and upcoming threats.
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