Projet de recherche doctoral numero :5745


Date depot: 19 février 2019
Titre: Privacy-preserving machine learning techniques
Directrice de thèse: Melek ONEN (Eurecom)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Non defini

Resumé: The recent technology developments enable millions of people to collect and share data on a massive scale. Such data allow deriving relevant information about people through advanced analytics such as statistical analysis or machine learning. The analytical findings can help companies improve their customer services, or hospitals identify patterns based on patients’ historical data and come up with early treatments.

Doctorant.e: Bozdemir Beyza