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Privacy-Enhancing T...
Privacy-Enhancing Technologies and Anonymisation in Light of GDPR and Machine Learning
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- Fischer-Hübner, Simone, 1963- (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
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- Hansen, Marit (författare)
- Unabhängiges Landeszentrum für Datenschutz Schleswig-Holstein, Germany
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- Hoepman, Jaap-Henk (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),Radboud University, Netherlands;University of Groningen, Netherlands
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- Jensen, Meiko (författare)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
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(creator_code:org_t)
- Springer, 2023
- 2023
- Engelska.
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Ingår i: Privacy and Identity Management. - : Springer. ; , s. 11-20
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The use of Privacy-Enhancing Technologies in the field of data anonymisation and pseudonymisation raises a lot of questions with respect to legal compliance under GDPR and current international data protection legislation. Here, especially the use of innovative technologies based on machine learning may increase or decrease risks to data protection. A workshop held at the IFIP Summer School on Privacy and Identity Management showed the complexity of this field and the need for further interdisciplinary research on the basis of an improved joint understanding of legal and technical concepts.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Machine learning
- Anonymization
- Data anonymization
- Innovative technology
- Legal compliance
- Machine-learning
- On-machines
- Privacy enhancing technologies
- Summer school
- Technology-based
- Data privacy
- Computer Science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)