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

He, Yang; Rahimian, Shadi; Schiele, Bernt; Fritz, Mario

doi:10.1007/978-3-030-58592-1_31

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

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

MPS-Authors

/persons/resource/persons180812

He, Yang
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

/persons/resource/persons45383

Schiele, Bernt
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

He, Y., Rahimian, S., Schiele, B., & Fritz, M. (2020). Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation. In A. Vedali, H. Bischof, T. Brox, & J.-M. Frahm (Eds.), Computer Vision -- ECCV 2020 (pp. 519-535). Berlin: Springer. doi:10.1007/978-3-030-58592-1_31.

Cite as: https://hdl.handle.net/21.11116/0000-0005-73E3-9

Abstract

There is no abstract available