eXIAA: eXplainable Injections for Adversarial Attack

Leonardo Pesce, Jiawen Wei, Gianmarco Mengaldo

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…