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

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-73E3-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-226C-3
Genre: Conference Paper

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arXiv:1912.09685.pdf (Preprint), 9MB
 
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File downloaded from arXiv at 2020-01-09 12:52
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http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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 Creators:
He, Yang1, Author           
Rahimian, Shadi2, Author
Schiele, Bernt1, Author                 
Fritz, Mario2, Author           
Affiliations:
1Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2019-12-202020
 Publication Status: Published online
 Pages: 10 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: He_ECCV2020
DOI: 10.1007/978-3-030-58592-1_31
 Degree: -

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Title: 16th European Conference on Computer Vision
Place of Event: Glasgow, UK
Start-/End Date: 2020-08-23 - 2020-08-28

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Title: Computer Vision -- ECCV 2020
  Abbreviation : ECCV 2020
  Subtitle : 16th European Conference, Glasgow, UK, August 23–28, 2020 ; Proceedings, Part XXIII
Source Genre: Proceedings
 Creator(s):
Vedali, Andrea1, Editor
Bischof, Horst1, Editor
Brox, Thomas1, Editor
Frahm, Jan-Michael1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 519 - 535 Identifier: ISBN: 978-3-030-58591-4

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 12368 Sequence Number: - Start / End Page: - Identifier: -