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CONTRIBUTION TO PRIVACY-ENHANCING TECHNOLOGIES FOR MACHINE LEARNING APPLICATIONS

Author
Rodríguez-Hoyos, A.
Type of activity
Theses
Other related units
Department of Network Engineering
Defense's date
2020-10-21
URL
http://hdl.handle.net/2117/331634 Open in new window
Abstract
For some time now, big data applications have been enabling revolutionary innovation in every aspect of our daily life by taking advantage of lots of data generated from the interactions of users with technology. Supported by machine learning and unprecedented computation capabilities, different entities are capable of efficiently exploiting such data to obtain significant utility. However, since personal information is involved, these practices raise serious privacy concerns. Although multiple...
Group of research
SISCOM - Smart Services for Information Systems and Communication Networks

Participants

  • Rodríguez Hoyos, Ana Fernanda  (author)
  • Fernandez Vilas, Ana  (chair)
  • Aguilar Igartua, Mónica  (secretary)
  • Marín López, Andrés  (president)
  • Rebollo Monedero, David  (director)
  • Forné, Jordi  (director)

Attachments