Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach

dc.contributor.author	Ouaari, Sofiane
dc.contributor.author	Burak Uenal, Ali
dc.contributor.author	Akguen, Mete
dc.contributor.author	Pfeifer, Nico
dc.date.accessioned	2026-03-27T10:00:24Z
dc.date.available	2026-03-27T10:00:24Z
dc.date.issued	2025-08-27
dc.identifier.issn	2169-3536
dc.identifier.uri	http://hdl.handle.net/10900/177792
dc.language.iso	en	en
dc.publisher	Piscataway : IEEE - Inst Electrical Electronics Engineers Inc	de_DE
dc.relation.uri	http://dx.doi.org/10.1109/ACCESS.2025.3603429	de_DE
dc.subject.ddc	004	de_DE
dc.subject.ddc	600	de_DE
dc.title	Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach	de_DE
dc.type	Article	de_DE
utue.quellen.id	20251118000000_04234
utue.publikation.seiten	151527-151537	de_DE
utue.personen.roh	Ouaari, Sofiane
utue.personen.roh	Burak Uenal, Ali
utue.personen.roh	Akguen, Mete
utue.personen.roh	Pfeifer, Nico
dcterms.isPartOf.ZSTitelID	IEEE Access	de_DE
dcterms.isPartOf.ZS-Volume	13	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE