SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure

Koorosh Aslansefat, Ioannis Sorokos, Declan Whiting +2

Ensuring safety and explainability of machine learning (ML) is a topic of increasing relevance as data-driven applications venture into safety-critical application domains, traditi…