Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy

Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy

This special issue presents papers based on talks from a workshop on "Statistical and Learning-Theoretic Challenges in Data Privacy" held at UCLA's Institute for Pure and Applied Mathematics (IPAM), February 22–26, 2010.

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The journal of privacy and confidentiality 2012-07, Vol.4 (1)
Hauptverfasser: Slavkovic, Aleksandra B., Smith, Adam
Format: Artikel
Sprache:eng
Schlagworte:
cryptography
data mining
machine learning
statistics
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This special issue presents papers based on talks from a workshop on "Statistical and Learning-Theoretic Challenges in Data Privacy" held at UCLA's Institute for Pure and Applied Mathematics (IPAM), February 22–26, 2010.
ISSN:2575-8527
2575-8527
DOI:10.29012/jpc.v4i1.609