Program and Accepted Papers
1:00 - 1:10: Opening1:10 - 2:30: Invited Talk
· Dejing Dou. Deep Learning and Privacy Preserving in a Health Social Network
2:30 - 3:00: Paper Presentation
· Josep Domingo-Ferrer and Jordi Soria-Comas. Steered Microaggregation: A Unified Primitive for Anonymization of Data Sets and Data Streams
3:00 - 3:15: Coffee Break
3:15 - 4:45: Paper Presentations
· Ata Turk, Mayank Varia, and Georgios Kellaris. Revealing the Unseen: Exposing Cloud Usage While Protecting User Privacy
· Takuma Nakagawa, Hiromi Arai, and Hiroshi Nakagawa. Personalized Anonymization for Set-Valued Data by Partial Suppression
· Aida Calviño, Palmira Aldeguer, and Josep Domingo-Ferrer. Factor Analysis for Anonymization
4:45 - 5:30: Panel Paper
· Alfredo Cuzzocrea. Privacy-Preserving Big Data Stream Mining: Opportunities, Challenges, Directions
5:30: Closing