2 papers
cs.AI2026
Towards a compositional semantics for quantitative confidence assessment in assurance arguments
Benjamin Herd, Jessica Kelly, Jan Sabsch +1
Assurance arguments provide a clear and structured way to explain why stakeholders should trust that a system satisfies certain properties, yet widely used notations, e.g.Goal Stru…
cs.LG2020
Fault Injectors for TensorFlow: Evaluation of the Impact of Random Hardware Faults on Deep CNNs
Michael Beyer, Andrey Morozov, Emil Valiev +4
Today, Deep Learning (DL) enhances almost every industrial sector, including safety-critical areas. The next generation of safety standards will define appropriate verification tec…