Explaining models relating objects and privacy

arXiv:2405.01646v1 Announce Type: new
Abstract: Accurately predicting whether an image is private before sharing it online is difficult due to the vast variety of content and the subjective nature of privacy itself. In this paper, we evaluate privacy models that use objects extracted from an image to determine why the image is predicted as private. To explain the decision of these models, we use feature-attribution to identify and quantify which objects (and which of their features) are more relevant to …

abstract arxiv cs.cv image nature objects paper privacy type vast