SECURED
Publications
Journals / Magazines
- Declerck, J., Kalra, D., Airola, A., Amer, A. Y. A., Chatzichristos, C., Del Mar Mañu Pereira, M., M. De Brito Robalo, B., Ghini, F., Gutierrez-Torre, A., Hoogteijling, S., Hultsch, S., Ramon, J., Reidel, S., Regazzoni, F., Silva, L., Silveira, I., Sofia, T., & Maes, C. (2026). Rethinking Trust in Synthetic Health Data: Lessons From 7 European Research Initiatives. Journal of Medical Internet Research, 28, e83369. https://doi.org/10.2196/83369
- Podda, E., Spajic, D., & Samarati, P. (2026). Anonymising personal data under the data legislative acquis established by the Data Governance Act. Computer Law & Security Review, 60, 106261. DOI: 10.1016/j.clsr.2026.106261
- Recasens, P. G., Horváth, Á., Gutierrez-Torre, A., Torres, J., Berral, J. L., & Pejó, B. (2026). FRIDA: Free-rider detection using privacy attacks. Journal of Information Security and Applications, 97, 104357. https://doi.org/10.1016/j.jisa.2025.104357
- Guidotti, D., Pandolfo, L., Gutierrez-Torre, A., Lopez-Rubio, O., & Pulina, L. (2025). SynthVal: A Framework for Validating Synthetic Medical Images. IEEE Access, 13, 195871–195903. https://doi.org/10.1109/access.2025.3633780
- Fernández Santoro, E. M., Landsmeer, L. P. L., Hamdioui, S., Strydis, C., De Zeeuw, C. I., Badura, A., & Negrello, M. (2025). Homeostatic bidirectional plasticity in upbound and downbound micromodules in a model of the olivocerebellar loop. PLOS Computational Biology, 21(10), e1013609. https://doi.org/10.1371/journal.pcbi.1013609
- Pandolfo, L., Corona, G., Guidotti, D., & Pulina, L. (2025). A Knowledge-Driven Approach to Threat Validation and Security Reasoning in Modular Systems. IEEE Access, vol. 13, pp. 149817-149833, doi: 10.1109/ACCESS.2025.3602292.
- Landsmeer, L. P. L., Hua, E., Abunahla, H., Siddiqi, M. A., Ishihara, R., De Zeeuw, C. I., Hamdioui, S., & Strydis, C. (2025). Efficient implementation of the Hodgkin-Huxley potassium channel via a single volatile memristor. Frontiers in Neuroscience, 19, 1569397. https://doi.org/10.3389/fnins.2025.1569397
- Landsmeer, L. P. L., Siddiqi, M. A., Abunahla, H., Negrello, M., Hamdioui, S., & Strydis, C. (2025). Efficient and Realistic Brain Simulation: A Review and Design Guide for Memristor‐Based Approaches. Advanced Materials Technologies, 10(17), e01587. https://doi.org/10.1002/admt.202401587
- Nisevic, M., Milojevic, D., & Spajic, D. (2025). Synthetic Data in Medicine: Legal and Ethical Considerations for Patient Profiling. Computational and Structural Biotechnology Journal. https://doi.org/10.1016/j.csbj.2025.05.026
- Tzortzis, I. N., Gutierrez-Torre, A., Sykiotis, S., Agulló, F., Bakalos, N., Doulamis, A., Doulamis, N. & Berral, J. L. (2025). "Towards generalizable Federated Learning in Medical Imaging: A real-world case study on mammography data." Computational and Structural Biotechnology Journal. https://doi.org/10.1016/j.csbj.2025.03.031
- Engelen, M., Betting, R., & Strydis, C. (2025). SimHH: A Versatile, Multi-GPU Simulator for Extended Hodgkin-Huxley Networks. IEEE Access.
- Lennart P.L. Landsmeer, Max C.W. Engelen, Rene Miedema, Christos Strydis, "Tricking AI chips into simulating the human brain: A detailed performance analysis." Neurocomputing, Volume 598, 2024, 127953, https://doi.org/10.1016/j.neucom.2024.127953.
- De Ridder, Dirk, et al. "NeuroDots: From Single-Target to Brain-Network Modulation: Why and What Is Needed?." Neuromodulation: Technology at the Neural Interface (2024).
- Miedema, Rene, and Christos Strydis. "ExaFlexHH: an exascale-ready, flexible multi-FPGA library for biologically plausible brain simulations." Frontiers in Neuroinformatics 18 (2024): 1330875.
- Olar, A., Tyler, T., Hoppa, P. et al. “Annotated dataset for training deep learning models to detect astrocytes in human brain tissue.” Sci Data 11, 96 (2024). https://doi.org/10.1038/s41597-024-02908-x
Conference Proceedings
- Pejo, B., Frank, M., Varga, K., Veliczky, P., & Biczok, G. (2025). On the Fragility of Contribution Score Computation in Federated Learning. 4th IEEE Conference on Secure and Trustworthy Machine Learning. arXiv. https://doi.org/10.48550/ARXIV.2509.19921
- Aguelal, H., Shafiq, A. and Palmieri, P. (2026) 'HEALTH-DP: a framework for health data de-anonymization risk assessment and mitigation with differential privacy', Proceedings of the 12th International Conference on Information Systems Security and Privacy (ICISSP 2026), Marbella, Spain, 4-6 March, Volume 1, pp. 201-212.
- Xhemrishi, M., Graell i Amat, A., & Pejo, B. (2025, August). Detect & Score: Privacy-Preserving Misbehavior Detection and Contribution Evaluation in Federated Learning. In Proceedings of the International Workshop on Secure and Efficient Federated Learning (pp. 1-6). https://dl.acm.org/doi/full/10.1145/3709023.3737692
- Recasens, P. G., Gutierrez-Torre, A., Torres, J., Berral, J. L., Halimi, A., & Fraser, K. (2025, July 13). In-Context Bias Propagation in LLM-Based Tabular Data Generation. Data in Generative Models - The Bad, the Ugly, and the Greats. https://openreview.net/forum?id=f7l5QJxXoc
- H. Aguelal and P. Palmieri, "ECG De-Anonymization: Real-World Risks and a Privacy-by-Design Mitigation Strategy," 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), Madrid, Spain, 2025, pp. 449-456, doi: 10.1109/CBMS65348.2025.00095.
- Aguelal, H. and Palmieri, P. (2025). De-Anonymization of Health Data: A Survey of Practical Attacks, Vulnerabilities and Challenges. In Proceedings of the 11th International Conference on Information Systems Security and Privacy - Volume 2: ICISSP; SciTePress, pages 595-606 DOI: 10.5220/0013274200003899
- Fournaris, A., & Palmieri, P. (2024). CCSW 2024—Cloud Computing Security Workshop. Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, CCS ’24, 4900. https://doi.org/10.1145/3658644.3691548
- Siddiqi, Muhammad Ali, David Vrijenhoek, Lennart PL Landsmeer, Job van der Kleij, Anteneh Gebregiorgis, Vincenzo Romano, Rajendra Bishnoi, Said Hamdioui, and Christos Strydis. "A Lightweight Architecture for Real-Time Neuronal-Spike Classification." 21st ACM International Conference on Computing Frontiers Proceedings”, Ischia, Italy, May 7, 2024
- Francesco Regazzoni et al., "SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space," 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), Valencia, Spain, 2024, pp. 1-4, doi: 10.23919/DATE58400.2024.10546514.
- Aniol Bisquert, Achraf Hmimou, Josep Ll. Berral, Alberto Gutierrez-Torre and Oscar Romero, “HealthMesh: An Architectural Framework for Federated Healthcare Data Management,” 26th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data, Paestum, Italy, March 25, 2024.
- Pol G. Recasens, Jordi Torres, Josep Berral, Søren Hauberg, Pablo Moreno-Muñoz, “Beyond Parameter Averaging in Model Aggregation,” NeurIPS 2023, New Orleans, Luisiana, USA, December 10-16, 2023
- Raouf Kerkouche, Gergely Ács, and Mario Fritz. 2023. Client-specific Property Inference against Secure Aggregation in Federated Learning. In Proceedings of the 22nd Workshop on Privacy in the Electronic Society (WPES '23). Association for Computing Machinery, New York, NY, USA, 45–60, November 26, 2023
- Alexander Islam El-Kady, Apostolos P. Fournaris, Vassilis Paliuras, Dilithium Hardware-Accelerated Application using OpenCL-based High-Level Synthesis, 42nd IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2023, San Francisco, California, USA, October 29 - November 2, 2023
- M. A. Siddiqi et al., "Memristor-Based Lightweight Encryption," 2023 26th Euromicro Conference on Digital System Design (DSD), Golem, Albania, September 6, 2023, pp. 634-641
- Christos Ntokos, Nikolaos Bakalos, and Dimitrios Kalogeras. 2023. Towards Accelerating the Adoption of Federated Learning for Heterogeneous Data. In Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '23). Association for Computing Machinery, New York, NY, USA, 617–624. https://doi.org/10.1145/3594806.3596568
- F. Regazzoni, P. Palmieri and A. P. Fournaris, "Treating a different kind of patient: curing security weaknesses in digital health systems of the future," 2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI), Monopoli (Bari), Italy, 2023, pp. 99-102, doi: 10.1109/IWASI58316.2023.10164581.
- Francesco Ratto, Luigi Raffo and Francesca Palumbo, A Multithread AES Accelerator for Cyber-Physical Systems, MalIoT workshop, in proc. of 20th ACM International Conference on Computing Frontiers, Bolognia, Italy May 9th - 11th, 2023
Book chapters
- Spajić, D. (2025). Data Altruism Consent: A Move Forward Towards the Creation of a European Health Data Space?. In: Casarosa, F., Gennari, F., Rossi, A. (eds) Enabling and Safeguarding Personalized Medicine. Data Science, Machine Intelligence, and Law, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-031-99709-9_3
- Spajić, D. (2025). Transforming the secondary use of patient data in the European Health Data Space: A challenge for the patient’s right to medical confidentiality?. In The European Health Data Space. Taylor & Francis.
Preprints
White papers
Blog posts
- Maja Nisević and Daniela Spajić, SECURED: Project updates and legal insights for the beginning of its second year (Part II), CiTiP Blog, January 25 2024
- Maja Nisević and Daniela Spajić, SECURED: Project updates and legal insights for the beginning of its second year (Part I), CiTiP Blog, January 23 2024
- Daniela Spajić, Anonymous vs. pseudonymous data: the CJEU reaffirms the relative approach to the concept of personal data, CiTiP Blog, June 13 2023