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  Defending Membership Inference Attacks on Classification Models with Differential Privacy

Rahimian, S. (2019). Defending Membership Inference Attacks on Classification Models with Differential Privacy. Master Thesis, Universität des Saarlandes, Saarbrücken.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-DBC1-A Version Permalink: https://hdl.handle.net/21.11116/0000-000E-2330-4
Genre: Thesis

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Master Thesis Shadi Rahimian.pdf (Any fulltext), 2MB
 
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Master Thesis Shadi Rahimian.pdf
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 Creators:
Rahimian, Shadi1, Author           
Fritz, Mario2, Advisor           
Schiele, Bernt1, Referee                 
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: 20192019
 Publication Status: Issued
 Pages: 61 p.
 Publishing info: Saarbrücken : Universität des Saarlandes
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Rahimian_Master2019
 Degree: Master

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