A Distributed Trust Framework for Privacy-Preserving Machine Learning (English)
- New search for: Abramson, Will
- New search for: Hall, Adam James
- New search for: Papadopoulos, Pavlos
- New search for: Pitropakis, Nikolaos
- New search for: Buchanan, William J.
- New search for: Abramson, Will
- New search for: Hall, Adam James
- New search for: Papadopoulos, Pavlos
- New search for: Pitropakis, Nikolaos
- New search for: Buchanan, William J.
In:
Trust, privacy and security in digital business
; 205-222
;
2020
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ISBN:
- Conference paper / Print
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Title:A Distributed Trust Framework for Privacy-Preserving Machine Learning
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Contributors:Abramson, Will ( author ) / Hall, Adam James ( author ) / Papadopoulos, Pavlos ( author ) / Pitropakis, Nikolaos ( author ) / Buchanan, William J. ( author )
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Conference:TrustBus ; 17. ; 2020 ; Bratislava; Online
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Published in:
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Publisher:
- New search for: Springer
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Place of publication:Cham
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Publication date:2020
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ISBN:
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Type of media:Conference paper
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Type of material:Print
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Language:English
- New search for: 54.38
- Further information on Basic classification
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Keywords:
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Classification:
BKL: 54.38 Computersicherheit -
Source:
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 3
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- 32
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On the Suitability of Using SGX for Secure Key Storage in the CloudBrorsson, Joakim / Bideh, Pegah Nikbakht / Nilsson, Alexander / Hell, Martin et al. | 2020
- 48
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Employment of Secure Enclaves in Cheat Detection HardeningBrandão, André / Resende, João S. / Martins, Rolando et al. | 2020
- 65
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SECONDO: A Platform for Cybersecurity Investments and Cyber Insurance DecisionsFarao, Aristeidis / Panda, Sakshyam / Menesidou, Sofia Anna / Veliou, Entso / Episkopos, Nikolaos / Kalatzantonakis, George / Mohammadi, Farnaz / Georgopoulos, Nikolaos / Sirivianos, Michael / Salamanos, Nikos et al. | 2020
- 75
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Are Sensor-Based Business Models a Threat to Privacy? The Case of Pay-How-You-Drive Insurance ModelsRoth, Christian / Aringer, Sebastian / Petersen, Johannes / Nitschke, Mirja et al. | 2020
- 89
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Microtargeting or Microphishing? Phishing UnveiledKhursheed, Bridget / Pitropakis, Nikolaos / McKeown, Sean / Lambrinoudakis, Costas et al. | 2020
- 109
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Privacy-Preserving Service Composition with Enhanced Flexibility and EfficencyTheuermann, Kevin / Hoerandner, Felix / Abraham, Andreas / Ziegler, Dominik et al. | 2020
- 125
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An Empirical Investigation of the Right to Explanation Under GDPR in InsuranceDexe, Jacob / Ledendal, Jonas / Franke, Ulrik et al. | 2020
- 140
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Measuring Users’ Socio-contextual Attributes for Self-adaptive Privacy Within Cloud-Computing EnvironmentsKitsiou, Angeliki / Tzortzaki, Eleni / Kalloniatis, Christos / Gritzalis, Stefanos et al. | 2020
- 156
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Empowering Users Through a Privacy Middleware WatchdogSousa, Patrícia R. / Martins, Rolando / Antunes, Luís et al. | 2020
- 171
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Utility Requirement Description for Utility-Preserving and Privacy-Respecting Data PseudonymizationKasem-Madani, Saffija / Meier, Michael et al. | 2020
- 186
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DEFeND DSM: A Data Scope Management Service for Model-Based Privacy by Design GDPR CompliancePiras, Luca / Al-Obeidallah, Mohammed Ghazi / Pavlidis, Michalis / Mouratidis, Haralambos / Tsohou, Aggeliki / Magkos, Emmanouil / Praitano, Andrea / Iodice, Annarita / Crespo, Beatriz Gallego-Nicasio et al. | 2020
- 205
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A Distributed Trust Framework for Privacy-Preserving Machine LearningAbramson, Will / Hall, Adam James / Papadopoulos, Pavlos / Pitropakis, Nikolaos / Buchanan, William J. et al. | 2020
- 223
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A Fuzzy Trust Model for Autonomous Entities Acting in Pervasive ComputingKolomvatsos, Kostas / Kalouda, Maria / Papadopoulou, Panagiota / Hadjieftymiades, Stathes et al. | 2020