ICON Decomposition: Auditing Deep Neural Networks with Multivariate Variance-based Concept-level Explanations

Deep neural networks often exploit spurious associations, a failure known as shortcut learning. Auditing for shortcuts requires testing many candidate concepts, such as acquisition settings or demographics. Current concept-based explainability methods test one concept at a time, asking whether it is