Train but Verify: Towards Practical AI Robustness
• Presentation
Train, but Verify is an effort to develop an AI Engineering process to train AI systems to have specific robustness properties.
Publisher
Software Engineering Institute
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Abstract
The project "Train, but Verify" is a multi-year effort to develop an AI Engineering process to train AI systems to have specific robustness properties along with a testing framework capable of verifying these properties. To make this research possible, the SEI created Juneberry, a framework that improves the experience of machine learning experimentation that automates the training, evaluation, and comparison of multiple models against multiple datasets, reducing errors and improving reproducibility.
Part of a Collection
CMU SEI Research Review 2021 Day 3 Artifacts