Paper accepted at KBS
The paper proposes an anonymization method that can publish finite microdata streams with high protection as well as high utility. Download here.
I am a "Ramón y Cajal" senior researcher at the Universitat Politècnica de Catalunya, Spain. 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 data security and transparency in modern information systems from a perspective that is mathematically systematic and adheres to the principles of engineering optimization.
Tobar Nicolau, A., Parra-Arnau, J., Forné, J., Torra, V.
IEEE Transactions on Information Forensics and Security
The goal is to develop privacy-preserving, artificially-intelligence-based analytics for smart cities. We aim to enable stakeholders to operate on protected data while ensuring those data are useful for analytics.
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.