Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation

ECCV 2020 Yang HeShadi RahimianBernt SchieleMario Fritz

Today's success of state of the art methods for semantic segmentation is driven by large datasets. Data is considered an important asset that needs to be protected, as the collection and annotation of such datasets comes at significant efforts and associated costs... (read more)

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