Scaling Up secure Processing, Anonymization and generation of Health Data for EU cross border collaborative research and Innovation

Informazioni relative al progetto

SECURED

ID dell’accordo di sovvenzione: 101095717

DOI

10.3030/101095717

Progetto chiuso

Data della firma CE 23 Novembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Dicembre 2025

Finanziato da

• Health

Costo totale

€ 6 999 723,75

Contributo UE

€ 6 999 723,25

Coordinato da

UNIVERSITEIT VAN AMSTERDAM
Netherlands

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (9)

Project Handbook Quality, Risk Management
Legal and ethical framework and analysis
Data Management Plan
Interim report on Data anonymization, de-anonymization and Synthetic data generation techniques, tools and services
Architecture Specifications, Analysis and Design
GDPR and Ethics Project Guidelines
Interim report on Scalable Secure Multiparty Computation, Federated Learning and Unbiased AI techniques and tools
State of the Art and initial technical requirements
Dissemination and Exploitation Plan

Websites, patent fillings, videos etc. (1)

Project Website

Pubblicazioni

Peer reviewed articles (15)

SimHH: A Versatile, Multi-GPU Simulator for Extended Hodgkin-Huxley Networks

Autori: Max C. W. Engelen, River Betting, Christos Strydis
Pubblicato in: IEEE Access, Numero 13, 2025, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3550444

NeuroDots: From Single-Target to Brain-

Autori: Dirk De Ridder, Muhammad Ali Siddiqi, Justin Dauwels, Wouter A. Serdijn, Christos Strydis
Pubblicato in: Neuromodulation: Technology at the Neural Interface, Numero '27/4, 2024, ISSN 1525-1403
Editore: Elsevier
DOI: 10.1016/j.neurom.2024.01.003

Tricking AI chips into simulating the human brain: A detailed performance analysis

Autori: Landsmeer, Lennart P.L.; Engelen, Max C.W.; Miedema, Rene; Strydis, Christos
Pubblicato in: Neurocomputing, 2024, ISSN 1872-8286
Editore: Elsevier
DOI: 10.48550/ARXIV.2301.13637

FRIDA: Free-rider detection using privacy attacks

Autori: Pol G. Recasens, Ádám Horváth, Alberto Gutierrez-Torre, Jordi Torres, Josep Ll Berral, Balázs Pejó
Pubblicato in: Journal of Information Security and Applications, 2025, ISSN 2214-2134
Editore: Elsevier
DOI: 10.1016/J.JISA.2025.104357

Synthetic data in medicine: Legal and ethical considerations for patient profiling

Autori: Nisevic, Maja; Milojevic, Dusko; Spajic, Daniela
Pubblicato in: Computational and Structural Biotechnology Journal, 2025, ISSN 2001-0370
Editore: Elsevier
DOI: 10.1016/J.CSBJ.2025.05.026

ExaFlexHH: an exascale-ready, flexible multi-FPGA library for biologically plausible brain simulations

Autori: R. Miedema and C. Strydis
Pubblicato in: Frontiers in Neuroinformatics, Numero 18:1330875, 2024, ISSN 1662-5196
Editore: Frontiers Research Foundation
DOI: 10.3389/fninf.2024.1330875

<i>SynthVal</i> : A Framework for Validating Synthetic Medical Images

Autori: Dario Guidotti, Laura Pandolfo, Alberto Gutierrez-Torre, Omar Lopez-Rubio, Luca Pulina
Pubblicato in: IEEE Access, Numero 13, 2025, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3633780

Efficient implementation of the Hodgkin-Huxley potassium channel via a single volatile memristor

Autori: Lennart P. L. Landsmeer; Erbing Hua; Heba Abunahla; Muhammad Ali Siddiqi; Ryoichi Ishihara; Chris I. De Zeeuw; Said Hamdioui; Christos Strydis
Pubblicato in: Frontiers in Neuroscience, 2025, ISSN 1662-453X
Editore: Frontiers
DOI: 10.3389/FNINS.2025.1569397

Towards generalizable Federated Learning in medical imaging: A real-world case study on mammography data

Autori: Ioannis N. Tzortzis; Alberto Gutierrez-Torre; Stavros Sykiotis; Ferran Agulló; Nikolaos Bakalos; Anastasios Doulamis; Nikolaos Doulamis; Josep Ll. Berral
Pubblicato in: Computational and Structural Biotechnology Journal, 2025, ISSN 2001-0370
Editore: Elsevier
DOI: 10.1016/J.CSBJ.2025.03.031

IEEE Access

Autori: Max C. W. Engelen; River Betting; Christos Strydis
Pubblicato in: IEEE Access, 2025, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2025.3550444

Homeostatic bidirectional plasticity in upbound and downbound micromodules in a model of the olivocerebellar loop

Autori: Elías M. Fernández Santoro; Lennart P.L. Landsmeer; Said Hamdioui; Christos Strydis; Chris I. De Zeeuw; Aleksandra Badura; Mario Negrello
Pubblicato in: PLOS Computational Biology, 2025, ISSN 1553-7358
Editore: PLOS
DOI: 10.1371/JOURNAL.PCBI.1013609

Efficient and Realistic Brain Simulation: A Review and Design Guide for Memristor‐Based Approaches

Autori: Lennart Paul Liong Landsmeer; Muhammad Ali Siddiqi; Heba Abunahla; Mario Negrello; Said Hamdioui; Christos Strydis
Pubblicato in: Advanced Materials Technologies, 2025, ISSN 2365-709X
Editore: John Wiley & Sons, Ltd
DOI: 10.1002/ADMT.202401587

Annotated dataset for training deep learning models to detectastrocytes in human brain tissue

Autori: Alex Olar, Teodora Tyler, Paulina Hoppa, Erzsébet Frank, István Csabai, István Adriján, Péter Pollner
Pubblicato in: Scientific Data, 2024, ISSN 2052-4463
Editore: Nature
DOI: 10.1038/s41597-024-02908-x

Tricking AI chips into Simulating the Human Brain: A Detailed Performance Analysis

Autori: Lennart P. L. Landsmeer, Max C. W. Engelen, Rene Miedema, Christos Strydis,
Pubblicato in: Neurocomputing, 2024, ISSN 1872-8286
Editore: Elsevier
DOI: 10.1016/j.neucom.2024.127953

A Knowledge-Driven Approach to Threat Validation and Security Reasoning in Modular Systems

Autori: Laura Pandolfo, Giorgio Corona, Dario Guidotti, Luca Pulina
Pubblicato in: IEEE Access, Numero 13, 2025, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3602292

Conference proceedings (11)

Memristor-Based Lightweight Encryption

Autori: Siddiqi, Muhammad Ali, Jan Andrés Galvan Hernández, Anteneh Gebregiorgis, Rajendra Bishnoi, Christos Strydis, Said Hamdioui, and Mottaqiallah Taouil, 2023.
Pubblicato in: 26th Euromicro Conference on Digital System Design, 2024, ISSN 2771-2508
Editore: IEEE
DOI: 10.1109/DSD60849.2023.00092

A Multithread AES Accelerator for Cyber-Physical Systems

Autori: Francesco Ratto, Luigi Raffo and Francesca Palumbo
Pubblicato in: CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023
Editore: Association for Computing Machinery, NY
DOI: 10.1145/3587135.3592819

Dilithium Hardware-Accelerated Application Using OpenCL-Based High-Level Synthesis

Autori: Alexander Islam El-Kady, Apostolos P. Fournaris, Vassilis Paliuras
Pubblicato in: 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023, ISSN 1558-2434
Editore: IEEE
DOI: 10.1109/ICCAD57390.2023.10323770

HealthMesh: An Architectural Framework for Federated Healthcare Data Management

Autori: Aniol Bisquert, Achraf Hmimou, Josep Ll. Berral, Alberto Gutierrez-Torre, Oscar Romero
Pubblicato in: Proceedings of the 26th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2024), 2024, ISSN 1613-0073
Editore: CEUR-WS

Client-specific Property Inference against Secure Aggregation in Federated Learning

Autori: Raouf Kerkouche, Gergely Acs, Mario Fritz
Pubblicato in: WPES '23: Proceedings of the 22nd Workshop on Privacy in the Electronic Society, 2023
Editore: Association for Computing Machinery, NY
DOI: 10.1145/3603216.3624964

Beyond Parameter Averaging in Model Aggregation

Autori: Pol G Recasens, Jordi Torres, Josep Berral, Søren Hauberg, Pablo Moreno-Muñoz
Pubblicato in: International Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS 2023, 2023
Editore: NeurIPS

Towards Accelerating the Adoption of Federated Learning for Heterogeneous Data

Autori: Christos Ntokos; Nikolaos Bakalos; Dimitrios Kalogeras
Pubblicato in: PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023
Editore: Association for Computing Machinery, NY
DOI: 10.1145/3594806.3596568

A Lightweight Architecture for Real-Time Neuronal-Spike Classification

Autori: Siddiqi, M. A., Vrijenhoek, D., Landsmeer, L. P. L., van der Kleij, J., Gebregiorgis, A., Romano, V., Bishnoi, R., Hamdioui, S., & Strydis, C.
Pubblicato in: CF '24: Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024
Editore: Association for Computing Machinery, ΝΥ
DOI: 10.1145/3649153.3649186

In-Context Bias Propagation in LLM-Based Tabular Data Generation

Autori: Pol G. Recasens, Alberto Gutierrez-Torre, Jordi Torres, Josep Lluis Berral, Anisa Halimi, Kieran Fraser
Editore: Open Review

Treating a different kind of patient: curing security weaknesses in digital health systems of the future

Autori: Francesco Regazzoni; Paolo Palmieri; Apostolos P Fournaris
Pubblicato in: 2023, ISSN 2836-7936
Editore: IEEE
DOI: 10.1109/IWASI58316.2023.10164581

SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space

Autori: Francesco Regazzoni, Paolo Palmieri, George Tasopoulos, et al
Pubblicato in: 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024, ISSN 1558-1101
Editore: IEEE
DOI: 10.23919/DATE58400.2024.10546514

Other (4)

SECURED: Project updates and legal insights for the beginning of its second year (Part I)

Autori: Maja Nisevic, Daniela Spajic
Pubblicato in: CiTiP Blog, 2024
Editore: KU Leuven CiTiP

Learning using privileged information for segmenting tumors on digital mammograms

Autori: Ioannis N. Tzortzis; Konstantinos Makantasis; Ioannis Rallis; Nikolaos Bakalos; Anastasios Doulamis; Nikolaos Doulamis
Pubblicato in: CoRR, 2024
Editore: arXiv
DOI: 10.48550/ARXIV.2402.06379

Anonymous vs. pseudonymous data: the CJEU reaffirms the relative approach to the concept of personal data

Autori: Daniela Spajic
Pubblicato in: CiTiP Blog, 2023
Editore: KU Leuven CiTiP

SECURED: Project updates and legal insights for the beginning of its second year (Part II)

Autori: Maja Nisevic, Daniela Spajic
Pubblicato in: CiTiP Blog, 2024
Editore: KU Leuven CiTiP

Book chapters (2)

Data Altruism Consent: A Move Forward Towards the Creation of a European Health Data Space?

Autori: Daniela Spajić
Pubblicato in: Data Science, Machine Intelligence, and Law, 2025
Editore: Springer, Cham
DOI: 10.1007/978-3-031-99709-9_3

Chapter 5 Transforming the secondary use of patient data in the European Health Data Space: A challenge for the patient’s right to medical confidentiality?

Autori: Spajić, Daniela
Pubblicato in: Computational and Structural Biotechnology Journal, 2025
Editore: Taylor & Francis
DOI: 10.4324/9781003544111-7