Robust Model Design

AI Red Teamers assess whether choices made during model design (architecture selection, regularization techniques, ensemble methods) effectively contribute to robustness against anticipated attacks. They test if these design choices actually prevent common failure modes identified during threat modeling.

Learn more from the following resources:

• @article@Model Robustness: Building Reliable AI Models
• @article@Understanding Robustness in Machine Learning
• @paper@Towards Evaluating the Robustness of Neural Networks (arXiv by Goodfellow et al.)