My research attempts to leverage mature concepts and techniques amply utilized in information theory, convex optimization and stochastic estimation, to tackle the increasingly controversial problem of privacy in modern information systems from a perspective that is mathematically systematic and adheres to the principles of engineering optimization.
My current research interests encompass (i) the anonymization of static and dynamic data with syntactic and differential privacy guarantees; (ii) the generation of differentially-private synthetic data; and (iii) the design of mechanisms that allow machine learning algorithms to learn accurate models while protecting the privacy of the individuals on whom the data are trained.
Parra-Arnau, J.*, Strufe, T., Domingo-Ferrer, J.
Knowledge-Based Systems
Wunderlich, D., Bernau, D., Parra-Arnau, J., Aldà, F., Strufe, T. Privacy Enhancing Technologies Symposium. Undergoing revision
Parra-Arnau, J., Domingo-Ferrer, J., Soria-Comas, J. Information Fusion
Parra-Arnau, J., Castelluccia, C.
IEEE Access
Parra-Arnau, J.
Information Sciences
Achara, J. P., Parra-Arnau, J., Castelluccia, C.
ACM Transactions on Internet Technology
Parra-Arnau, J., Gómez-Mármol, F., Rebollo-Monedero, D., Forné, J.
Knowledge & Information Systems
Parra-Arnau, J.
Information Sciences
Parra-Arnau, J., Achara, J., Castelluccia, C.
ACM Transactions on the Web
Parra-Arnau, J., Rebollo-Monedero, D., Forné, J.
Entropy
Parra-Arnau, J., Perego, A., Ferrari, A., Forné, J., Rebollo-Monedero, D. IEEE Transactions on Knowledge and Data Engineering
Rebollo-Monedero, D., Parra-Arnau, J., Diaz, C., Forné, J.
International Journal of Information Security
Rebollo-Monedero, D., Forné, J., Esteve Pallarès, Parra-Arnau, J.
Information Sciences
Parra-Arnau, J., Rebollo-Monedero, D., Forné, J., Muñoz, J. L., Esparza, O.
Data & Knowledge Engineering
The paper proposes an anonymization method that can publish finite microdata streams with high protection as well as high utility. Download here.
All project members have met at SAP France. Really interesting discussions on how to protect location data in smart cities. Stay tuned!
Our work presented at the IEEE Conference on Dependable and Secure Computing (DSC'21) receives the best-paper award. Download here.
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