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  Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning

Salem, A. M. G., Bhattacharyya, A., Backes, M., Fritz, M., & Zhang, Y. (2020). Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. In Proceedings of the 29th USENIX Security Symposium (pp. 1291-1308). USENIX. Retrieved from https://www.usenix.org/conference/usenixsecurity20/presentation/salem.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-EC51-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-478B-B
Genre: Conference Paper

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 Creators:
Salem, Ahmed Mohamed Gamal1, Author           
Bhattacharyya, Apratim2, Author           
Backes, Michael1, Author           
Fritz, Mario1, Author           
Zhang, Yang1, Author
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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: 2020
 Publication Status: Published online
 Pages: 15 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: URI: https://www.usenix.org/conference/usenixsecurity20/presentation/salem
BibTex Citekey: Salem_USENIX2020
 Degree: -

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Title: 29th USENIX Security Symposium
Place of Event: Virtual Event
Start-/End Date: 2020-08-12 - 2020-08-14

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Project name : imPACT
Grant ID : 610150
Funding program : Funding Programme 7 (FP7)
Funding organization : European Commission (EC)

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Title: Proceedings of the 29th USENIX Security Symposium
  Abbreviation : USENIX Security 2020
Source Genre: Proceedings
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Publ. Info: USENIX
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1291 - 1308 Identifier: ISBN: 978-1-939133-17-5