2023 (v1)
Publication
In this paper we explore some of the potential applications of robustness criteria for machine learning (ML) systems by way of tangible 'demonstrator' scenarios. In each demonstrator, ML robustness metrics are applied to real-world scenarios with military relevance, indicating how they might be used to help detect and handle possible...
Uploaded on: February 7, 2024