Synthetic data: between anonymization and parameterization: a new frontier for data protection?
Tosto, Flaminia (A.A. 2024/2025) Synthetic data: between anonymization and parameterization: a new frontier for data protection? Tesi di Laurea in Data protection law, Luiss Guido Carli, relatore Filiberto Brozzetti, pp. 80. [Master's Degree Thesis]
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Abstract/Index
Data as a fundamental asset for Europe. The data economy and the rising value of personal data. Balancing technological innovation and data protection. What is synthetic data? Understanding its role and potential. What is synthetic data? What there is in the background of synthetic data? Exploring practical applications. The overparameterization problem. About the concept of anonymization. The EDPB opinion 28/2024 on certain data protection aspects related to the processing of personal data in the context of AI models. Privacy risks of synthetic data. Shaping the future of AI and data protection: the Aindo case. Addressing privacy threats. The Aindo experience: a case study in applied synthetic data innovation.
References
Bibliografia: pp. 72-79.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Digital Innovation and Sustainability (LM/SC – GIUR) |
| Chair: | Data protection law |
| Thesis Supervisor: | Brozzetti, Filiberto |
| Thesis Co-Supervisor: | Fernandes Da Silva Ranchordas, Sofia Hina |
| Academic Year: | 2024/2025 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 24 Feb 2026 09:47 |
| Last Modified: | 24 Feb 2026 09:47 |
| URI: | https://tesi.luiss.it/id/eprint/44931 |
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