Hochschulschrift
Secure and privacy-preserving services based on secure multiparty computation
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783937201672
- Maße
-
21 cm
- Umfang
-
v, 211 Seiten
- Sprache
-
Englisch
- Anmerkungen
-
Diagramme
Technische Universität München, Dissertation, 2019
- Erschienen in
-
Network architectures and services ; NET-2019,07,2 : Dissertation
- Klassifikation
-
Informatik
- Ereignis
-
Veröffentlichung
- (wo)
-
München
- (wer)
-
Chair of Network Architectures and Services, Department of Informatics, Technical University of Munich
- (wann)
-
2019
- Urheber
-
Maltitz, Marcel Léon von
- Inhaltsverzeichnis
- Rechteinformation
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Letzte Aktualisierung
-
11.06.2025, 14:01 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Hochschulschrift
Beteiligte
- Maltitz, Marcel Léon von
- Chair of Network Architectures and Services, Department of Informatics, Technical University of Munich
Entstanden
- 2019
Ähnliche Objekte (12)
Privacy-preserving record linkage in large databases using secure multiparty computation
Secure and Privacy-preserving Decentralized Identities
Scalable, Accurate and Secure Privacy-Preserving Record Linkage
Secure Computation Protocols for Privacy-Preserving Machine Learning
Unlocking Secure Industrial Collaborations through Privacy-Preserving Computation
PQSF: post-quantum secure privacy-preserving federated learning
Privacy-preserving multiparty digital rights management
A secure and efficient privacy-preserving data aggregation algorithm
Towards a secure and privacy-preserving structure in opportunistic networks
SHAPER: A General Architecture for Privacy-Preserving Primitives in Secure Machine Learning
A framework of blockchain-based secure and privacy-preserving E-government system
Secure and privacy-preserving 3D vehicle positioning schemes for vehicular ad hoc network
Privacy-preserving record linkage in large databases using secure multiparty computation
Secure and Privacy-preserving Decentralized Identities
Scalable, Accurate and Secure Privacy-Preserving Record Linkage
Secure Computation Protocols for Privacy-Preserving Machine Learning
Unlocking Secure Industrial Collaborations through Privacy-Preserving Computation
PQSF: post-quantum secure privacy-preserving federated learning
Privacy-preserving multiparty digital rights management
A secure and efficient privacy-preserving data aggregation algorithm
Towards a secure and privacy-preserving structure in opportunistic networks
SHAPER: A General Architecture for Privacy-Preserving Primitives in Secure Machine Learning
A framework of blockchain-based secure and privacy-preserving E-government system
Secure and privacy-preserving 3D vehicle positioning schemes for vehicular ad hoc network
Privacy-preserving record linkage in large databases using secure multiparty computation
Secure and Privacy-preserving Decentralized Identities
Scalable, Accurate and Secure Privacy-Preserving Record Linkage
Secure Computation Protocols for Privacy-Preserving Machine Learning
Unlocking Secure Industrial Collaborations through Privacy-Preserving Computation
PQSF: post-quantum secure privacy-preserving federated learning
Privacy-preserving multiparty digital rights management
A secure and efficient privacy-preserving data aggregation algorithm
Towards a secure and privacy-preserving structure in opportunistic networks
SHAPER: A General Architecture for Privacy-Preserving Primitives in Secure Machine Learning
A framework of blockchain-based secure and privacy-preserving E-government system