1 citations · 2 across the 19 of their papers we have counts for
3 papers · 1 filter
MRxaI: Black-Box Explainability for Image Classifiers in a Medical Setting
Nathan Blake, Hana Chockler, David A. Kelly +2
Existing tools for explaining the output of image classifiers can be divided into white-box, which rely on access to the model internals, and black-box, agnostic to the model. As t…
You Only Explain Once
David A. Kelly, Hana Chockler, Daniel Kroening +4
In this paper, we propose a new black-box explainability algorithm and tool, YO-ReX, for efficient explanation of the outputs of object detectors. The new algorithm computes explan…
Multiple Different Black Box Explanations for Image Classifiers
Hana Chockler, David A. Kelly, Daniel Kroening
Existing explanation tools for image classifiers usually give only a single explanation for an image's classification. For many images, however, image classifiers accept more than…