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CORDIS - EU research results
CORDIS

Federated Data Sharing and Analysis for Social Utility

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Integrated Impact Assessment Report (opens in new window)

Final report synthesising the insights generated in the GDPR, ethics and human rights impact assessment carried out throughout the HARPOCRATES research.

Final Demonstrators (opens in new window)

A report and a set of final near production quality demonstrators describing and showcasing the two demonstrator applications, utilizing the final version of the HARPOCRATES Framework. The deliverable will also report on the operational experiences of the cloud testbed and its applications.

Report on communication, dissemination, standardisation and exploitation activities (opens in new window)

Final report summarizing all activities related to dissemination, communication, ecosystem building, standardization, IPR management and exploitation during the second half of the project.

Technical Requirements, Architecture and Testing Plan (opens in new window)

Report describing the HARPOCRATES reference architecture, summarizing the detailed requirements towards the HARPOCRATES Platform, and providing an integration testing and evaluation plan.

Final Release of the HARPOCRATES Framework - Final Release (opens in new window)

A report and demonstrator describing and showcasing the final release of the security components and the overall HARPOCRATES Framework.

Initial communication, dissemination, standardisation and exploitation activities (opens in new window)

This will be a report summarizing all activities related to dissemination, communication, ecosystem building, standardization, IPR management and exploitation during the rst half of the project.

Plan for dissemination and exploitation including communication activities (opens in new window)

Describe the detailed dissemination, communication and exploitation plan of the project (including project website, social media channels and branding), extending the draft plan included in Section 2.

Privacy Preserving Feature Selection, Classification and Federated Learning (opens in new window)

Privacy Preserving Feature Selection, Classification and Federated Learning. (M30)Report presenting the implemented privacy-preserving feature selection methods, classification schemes and Byzantine-robust FL schemes.

Report on Cloud Computing Testbed (opens in new window)

Describe the architecture, components and operational policies of the cloud computing testbed that will be set up to host the applications and demonstrators. It will also describe the selected healthcare and public sector applications that will be operational on HARPOCRATES cloud testbed.

Multiparty Computation Schemes to Support HE, FE and Differential Privacy. (opens in new window)

Documentation providing a detailed analysis of the MPC protocols that will be designed for HARPOCRATES. In addition to that, detailed protocols that will combine HE, FE and MPC in order to achieve differential privacy will be presented.

Homomorphic Encryption, Functional Encryption and Function Hiding (opens in new window)

Documentation that reveals advantages and limitations of existing Homomorphic and Functional Encryption schemes. Furthermore, a detailed analysis of the schemes that will be designed for HARPOCRATES will be presented.

Publications

Projet Harpocrates : cryptage des données de sommeil et analyse par Machine Learning pour la médecine du sommeil (opens in new window)

Author(s): Dorone Feingold, Paul Bouchequet, Annabelle Labonne, Matthew Salanitro, Timo Leppänen, James Bowden, Thomas Penzel, Damien Léger.
Published in: 2023, ISSN 1234-5678
Publisher: French Sleep Congress in Lille
DOI: 10.1016/j.msom.2023.12.103

Learning in the Dark: Privacy-Preserving Machine Learning using Function Approximation (opens in new window)

Author(s): Tanveer Khan; Antonios Michalas
Published in: 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom'23), 2023
Publisher: IEEE
DOI: 10.48550/arxiv.2309.08190

Symmetrical Disguise: Realizing Homomorphic Encryption Services from Symmetric Primitives (extended version)

Author(s): Alexandros Bakas; Eugene Frimpong; Antonis Michalas
Published in: 2023, ISBN 978-3-031-25538-0
Publisher: Springer

A More Secure Split: Enhancing the Security of Privacy-Preserving Split Learning (opens in new window)

Author(s): Tanveer Khan; Khoa Nguyen; Antonios Michalas
Published in: Secure IT Systems ISBN: 9783031477478, 2023
Publisher: Springer
DOI: 10.5281/ZENODO.8382391

Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning (opens in new window)

Author(s): Tanveer Khan; Khoa Nguyen; Antonis Michalas
Published in: 2023, ISSN 1613-0073
Publisher: CEUR-WS
DOI: 10.48550/arxiv.2301.08778

Love or Hate? Share or Split? Privacy-Preserving Training Using Split Learning and Homomorphic Encryption (opens in new window)

Author(s): Khan, Tanveer; Nguyen, Khoa; Michalas, Antonis; Bakas, Alexandros
Published in: Crossref, 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.48550/arxiv.2309.10517

Cryptographic Role-Based Access Control, Reconsidered (opens in new window)

Author(s): Bin Liu; Antonis Michalas; Bogdan Warinschi
Published in: Provable and Practical Security ISBN: 9783031209161, 2022, ISBN 978-3-031-20917-8
Publisher: Springer
DOI: 10.1007/978-3-031-20917-8_19

FL4IoT: IoT Device Fingerprinting and Identification Using Federated Learning (opens in new window)

Author(s): Han Wang; David Eklund; Alina Oprea; Shahid Raza
Published in: Crossref, 2023, ISSN 2577-6207
Publisher: ACM
DOI: 10.1145/3603257

Split Without a Leak: Reducing Privacy Leakage in Split Learning (opens in new window)

Author(s): Nguyen, Khoa; Khan, Tanveer; Michalas, Antonis
Published in: The 20th Annual International Conference on Privacy, Security & Trust (PST2023), 2023, ISSN 1613-0073
Publisher: Springer
DOI: 10.5281/zenodo.8385423

Journal of Cloud Computing (opens in new window)

Author(s): Ullah, Amjad; Kiss, Tamas; Kovács, József; Tusa, Francesco; Deslauriers, James; Dagdeviren, Huseyin; Arjun, Resmi; Hamzeh, Hamed
Published in: Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-29 (2023), 2023, ISSN 2192-113X
Publisher: Springer Science + Business Media
DOI: 10.48550/arxiv.2309.02172

Lecture Notes in Computer Science (opens in new window)

Author(s): Rabaninejad, Reyhaneh; Abdolmaleki, Behzad; Malavolta, Giulio; Michalas, Antonis; Nabizadeh, Amir
Published in: stoRNA: Stateless Transparent Proofs of Storage-time, 2023, ISSN 0302-9743
Publisher: Springer Verlag
DOI: 10.5281/zenodo.7875768

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