Tutorials

These tutorials will acquaint you with all of the essential functionality of the rAI-toolbox. They require no prior experience with these toolbox, but do expect some familiarity with PyTorch and common concepts from the field of deep learning.

Contents:

• Generating Adversarial Perturbations
• Concept Probing Using Sparse Perturbations
• Building Workflows for Cross Validation Training and Adversarial Robustness Analysis

Tip

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These tutorials are meant to only focus on practical steps towards concrete outcomes, and thus they do not explain how the rAI-toolbox works. To gain a deeper understanding of the technical details here, please refer to the Reference and Explanation sections of our documentation.