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  GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs

Chen, D., Yu, N., Zhang, Y., & Fritz, M. (2020). GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs. In J. Ligatti, X. Ou, J. Katz, & G. Vigna (Eds.), CCS '20 (pp. 343-362). New York, NY: ACM. doi:10.1145/3372297.3417238.

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Genre: Conference Paper
Latex : {GAN}-Leaks: A Taxonomy of Membership Inference Attacks against {GANs}

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arXiv:1909.03935.pdf (Preprint), 7MB
 
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 Creators:
Chen, Dingfan1, Author           
Yu, Ning2, Author           
Zhang, Yang1, Author
Fritz, Mario1, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 2019-09-092020
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1145/3372297.3417238
BibTex Citekey: chen20ccs
 Degree: -

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Title: ACM SIGSAC Conference on Computer and Communications Security
Place of Event: Virtual Event, USA
Start-/End Date: 2020-11-09 - 2020-11-13

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Title: CCS '20
  Subtitle : Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security
  Abbreviation : CCS 2020
Source Genre: Proceedings
 Creator(s):
Ligatti, Jay1, Editor
Ou, Xinming1, Editor
Katz, Jonathan1, Editor
Vigna, Giovanni1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 343 - 362 Identifier: ISBN: 978-1-4503-7089-9