Kavli Affiliate: Leonardo Dicarlo | First 5 Authors: Leonardo Pesce, Leonardo Pesce, , , | Summary: Post-hoc explainability methods are a subset of Machine Learning (ML) that aim to provide a reason for why a model behaves in a certain way. In this paper, we show a new black-box model-agnostic adversarial attack for post-hoc explainable […]
Continue.. eXIAA: eXplainable Injections for Adversarial Attack