- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Trustworthy machine learning in the context of security and privacy ; volume:23 ; number:3 ; day:3 ; month:4 ; year:2024 ; pages:2287-2314 ; date:6.2024
International journal of information security ; 23, Heft 3 (3.4.2024), 2287-2314, 6.2024
- Creator
-
Upreti, Ramesh
Lind, Pedro G.
Elmokashfi, Ahmed
Yazidi, Anis
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10207-024-00813-3
- URN
-
urn:nbn:de:101:1-2408060852250.956163675655
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:01 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Upreti, Ramesh
- Lind, Pedro G.
- Elmokashfi, Ahmed
- Yazidi, Anis
- SpringerLink (Online service)
Other Objects (12)
Towards trustworthy and privacy-preserving decentralized auctions
Trustworthy decentralized machine learning systems
Supporting Trustworthy AI Through Machine Unlearning
Data privacy and security
Trustworthy Machine Learning Operations for Predictive Maintenance Solutions
Machine learning security and privacy: a review of threats and countermeasures
Machine learning for trust, security, and privacy in computing and communications
IT-security and privacy : design and use of privacy enhancing security mechanisms
Security and Privacy in Machine Learning for Health Systems: Strategies and Challenges
Towards more sustainable and trustworthy reporting in machine learning
Trustworthy authority
Context and communication profiling for IoT security and privacy: techniques and applications
Towards trustworthy and privacy-preserving decentralized auctions
Trustworthy decentralized machine learning systems
Supporting Trustworthy AI Through Machine Unlearning
Data privacy and security
Trustworthy Machine Learning Operations for Predictive Maintenance Solutions
Machine learning security and privacy: a review of threats and countermeasures
Machine learning for trust, security, and privacy in computing and communications
IT-security and privacy : design and use of privacy enhancing security mechanisms
Security and Privacy in Machine Learning for Health Systems: Strategies and Challenges
Towards more sustainable and trustworthy reporting in machine learning
Trustworthy authority
Context and communication profiling for IoT security and privacy: techniques and applications
Towards trustworthy and privacy-preserving decentralized auctions
Trustworthy decentralized machine learning systems
Supporting Trustworthy AI Through Machine Unlearning
Data privacy and security
Trustworthy Machine Learning Operations for Predictive Maintenance Solutions
Machine learning security and privacy: a review of threats and countermeasures
Machine learning for trust, security, and privacy in computing and communications
IT-security and privacy : design and use of privacy enhancing security mechanisms
Security and Privacy in Machine Learning for Health Systems: Strategies and Challenges
Towards more sustainable and trustworthy reporting in machine learning
Trustworthy authority