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Privacy-Preserving Data Publishing : Where Are We Now?

le 24 janvier 2017

15h30 - 17h00

ENS Rennes, Salle du conseil
Plan d'accès

Intervention de Tristan Allard, de l'équipe DRUID (Istic / Irisa), qui nous parlera de la problématique du traitement des données personnelles, dans le cadre des séminaires du département Informatique et télécommunications.

Séminaire Informatique et télécommunications


The massive personal datasets collected by today's companies or institutions are valuable resources, both for the entities that hold them and for society at large. Privacy-preserving data publishing aims at opening personal datasets to large-scale analysis without jeopardizing the individuals privacy. The problem is hard, ranging from the definition of an adequate privacy criteria to the design of efficient and useful privacy algorithms. More than ten years after the publications of the two seminal l-Diversity and Differential Privacy works, this lecture is a guided tour of the main privacy-preserving data publishing models and algorithms. We will synthesize the partition-based and differential privacy families of models and algorithms, analyze their strengths and weaknesses, and try to extract strong tendencies from the past decade. We will conclude by focusing on a recent line of work that intertwins differential privacy with encryption for performing analytical algorithms in a distributed and private way.

Télécharger son diaporama de présentation

Formation, Recherche - Valorisation
David Cachera & François Schwarzentruber

Mise à jour le 25 janvier 2017