The project “Data Anonymization Based on Generative Adversarial Networks,” presented by Dr. Sergio Yovine, academic coordinator of the Specialization Diploma in Big Data Analytics and professor of Artificial Intelligence in the School of Engineering, was approved for funding in November 2019 by the Data-Driven Research Sector Fund of the National Agency for Research and Innovation.
The project will last one year, beginning in April 2020, with a total budget of $1,000,000.
The team will also include Franz Mayr and Ramiro Visca, both engineers and research assistants in the Faculty’s Artificial Intelligence and Big Data group.
Open data plays a fundamental role in fostering more transparent and inclusive societies. However, the public release of data is subject to compliance with current privacy protection laws. The project focuses on data anonymization through the application of differential privacy techniques, with the aim of generating data that has the same distribution as the original data, thereby providing probabilistic guarantees of its privacy.