PS : Zacharie Naulet (Univ. Paris Saclay) : Optimal disclosure risk assessment

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PS : Zacharie Naulet (Univ. Paris Saclay) : Optimal disclosure risk assessment

28 janvier 2020 / 11:30 - 12:30

Protection against disclosure is a legal and ethical obligation for agencies releasing microdata files for public use. Any decision about releasing data  is supported by the estimation of measures of disclosure risk. The most common measure is arguably the number $\tau_{1}$ of sample unique records that are population uniques. We first study nonparametric estimation of $\tau_{1}$. We introduce a class of linear estimators of $\tau_{1}$ that are simple, computationally efficient and scalable to massive datasets, and we give uniform theoretical guarantees for them. We then establish a lower bound for the minimax NMSE for the estimation of $\tau_{1}$.

PS : Zacharie Naulet (Univ. Paris Saclay) : Optimal disclosure risk assessment

Détails

Date :
28 janvier 2020
Heure :
11:30 - 12:30
Catégorie d’évènement:

Lieu

Bâtiment Fermat, salle 2107

Organisateurs

Julien Worms
Alexis Devulder