Defending Membership Inference Attacks on Classiﬁcation Models with 
Differential Privacy

Rahimian, Shadi

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Thesis

Defending Membership Inference Attacks on Classiﬁcation Models with Differential Privacy

MPS-Authors

/persons/resource/persons245582

Rahimian, Shadi
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

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

Cite as: https://hdl.handle.net/21.11116/0000-0005-DBC1-A

Abstract

There is no abstract available