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@ -79,7 +79,7 @@ We chose **real world attacks on production ML systems** based on:
- Via an exposed API interface, the team performed an online evasion attack by replaying the adversarial examples, which helped achieve this goal.
- This operation had a combination of traditional ATT&CK enterprise techniques such as finding Valid account, and Executing code via an API -- all interleaved with adversarial ML specific steps such as offline and online evasion examples.
![Msft1](/images/Msft1.png)
![Msft1](/images/Msft1.PNG)
### Bosch - EdgeAI
**Summary of Incident:** : Bosch team performed a research exercise on an internal edge AI system with a dual intention to extract the model and craft adversarial example to evade
@ -93,7 +93,7 @@ We chose **real world attacks on production ML systems** based on:
- offline and online evasion examples.
- The team was also able to reconstruct the edge ai system with extracted model
![Bosch1](/images/Bosch1.png)
![Bosch1](/images/Bosch1.PNG)
### Microsoft – EdgeAI
**Summary of Incident:** The Azure Red Team performed a red team exercise on a new Microsoft product designed for running AI workloads at the Edge.