Browser fingerprinting: how to protect machine learning models and data with differential privacy?
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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In: 1st International Workshop on Machine Learning in Networking (MaLeNe), part of the Conference on Networked Systems 2021 (NetSys 2021), September 13-16, 2021, Lübeck, Germany, S.
- Erschienen in
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Electronic Communications of the EASST ; 80
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg
- (wer)
-
Universität Augsburg
- (wann)
-
2021
- Ereignis
-
Veröffentlichung
- (wo)
-
Berlin
- (wer)
-
Universitätsbibliothek TU Berlin
- (wann)
-
2021
- Urheber
-
Dietz, Katharina
Mühlhauser, Michael
Seufert, Michael Thomas
Gray, Nicholas
Hoßfeld, Tobias
Herrmann, Dominik
- Beteiligte Personen und Organisationen
-
Fischer, Mathias
Lamerdorf, Winfried
- DOI
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10.14279/tuj.eceasst.80.1179
- URN
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urn:nbn:de:bvb:384-opus4-1073461
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:53 MEZ
Datenpartner
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Beteiligte
- Dietz, Katharina
- Mühlhauser, Michael
- Seufert, Michael Thomas
- Gray, Nicholas
- Hoßfeld, Tobias
- Herrmann, Dominik
- Fischer, Mathias
- Lamerdorf, Winfried
- Universität Augsburg
- Universitätsbibliothek TU Berlin
Entstanden
- 2021
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