Evaluating Black-Box Vulnerabilities with Wasserstein-Constrained Data Perturbations
arXiv:2603.15867v2 Announce Type: replace
Abstract: The growing use of Machine Learning (ML) tools comes with critical challenges, such as limited model explainability. We propose a global explainability framework that leverages Optimal Transport and …