Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers

Georg Siedel, Silvia Vock, Andrey Morozov +1

Robustness is a fundamental pillar of Machine Learning (ML) classifiers, substantially determining their reliability. Methods for assessing classifier robustness are therefore esse…