Privacy Aware Machine Learning and the Right to be forgotten

Bernd Malle, Sebastian Schrittwieser, Peter Kieseberg, Andreas Holzinger

Research output: Contribution to journalArticle

Abstract

While machine learning is one of the fastest growing technologies in the area of computer science, the goal of analysing large amounts of data for information extraction collides with the privacy of individuals. Hence, in order to protect sensitive information, the effects of the right to be forgotten on machine learning algorithms need to be studied more extensively.
LanguageEnglish
Pages22-23
Number of pages2
JournalERCIM news
Volume107
Issue number10
StatusPublished - 10 Oct 2016

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Learning systems
Computer science
Learning algorithms

Keywords

  • Privacy
  • Privacy-Aware Machine Learning
  • Machine Learning

ASJC Scopus subject areas

  • Artificial Intelligence

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Review

Cite this

Malle, B., Schrittwieser, S., Kieseberg, P., & Holzinger, A. (2016). Privacy Aware Machine Learning and the Right to be forgotten. ERCIM news, 107(10), 22-23.

Privacy Aware Machine Learning and the Right to be forgotten. / Malle, Bernd; Schrittwieser, Sebastian; Kieseberg, Peter; Holzinger, Andreas.

In: ERCIM news, Vol. 107, No. 10, 10.10.2016, p. 22-23.

Research output: Contribution to journalArticle

Malle, B, Schrittwieser, S, Kieseberg, P & Holzinger, A 2016, 'Privacy Aware Machine Learning and the Right to be forgotten' ERCIM news, vol 107, no. 10, pp. 22-23.
Malle B, Schrittwieser S, Kieseberg P, Holzinger A. Privacy Aware Machine Learning and the Right to be forgotten. ERCIM news. 2016 Oct 10;107(10):22-23.
Malle, Bernd ; Schrittwieser, Sebastian ; Kieseberg, Peter ; Holzinger, Andreas. / Privacy Aware Machine Learning and the Right to be forgotten. In: ERCIM news. 2016 ; Vol. 107, No. 10. pp. 22-23
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