Publications

(2025). Automated Privacy-Preserving Techniques via Meta-Learning. In Information Fusion (Explainable AI in Industry 4.0 and 5.0).

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(2025). Differentially-private data synthetisation for efficient re-identification risk control. In Machine Learning.

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(2025). Secure Visual Data Processing via Federated Learning. In ICISSP.

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(2025). Empowering Open Data Sharing for Social Good: A Privacy-Aware Approach. In Scientific Data (Nature).

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(2024). Developing Project-Specific Consent Documents: A Registered Report for a Multistep Approach Using LLMs. In Drug Repurposing.

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(2024). Synthetic Data Outliers: Navigating Identity Disclosure. In International Conference on Privacy in Statistical Databases.

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(2024). Developing Project-Specific Informed Consent Forms: A Multi-Step Approach within the REPO4EU Framework. In RExPO24.

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(2023). A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics. In EPIA Conference on Artificial Intelligence.

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(2023). Towards a Data Privacy-Predictive Performance Trade-off. In ESwA.

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(2023). Survey on Privacy-Preserving Techniques for Data Publishing. In ACM Computing Surveys.

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(2021). Fundamental privacy rights in a pandemic state. In PLoS ONE.

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(2021). The Compromise of Data Privacy in Predictive Performance. In Symposium on Intelligent Data Analysis.

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