Verification-friendly networks: the case for parametric relus

F Leofante, P Henriksen… - 2023 International Joint …, 2023 - ieeexplore.ieee.org
It has increasingly been recognised that verification can contribute to the validation and
debugging of neural networks before deployment, particularly in safety-critical areas. While …

Interval Abstractions for Robust Counterfactual Explanations

J Jiang, F Leofante, A Rago, F Toni - arXiv preprint arXiv:2404.13736, 2024 - arxiv.org
Counterfactual Explanations (CEs) have emerged as a major paradigm in explainable AI
research, providing recourse recommendations for users affected by the decisions of …