APPS 2020 : Second International Workshop on Adaptive and Personalized Privacy and Security
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The Second International Workshop on Adaptive and Personalized Privacy and Security (APPS 2020) aims to bring together researchers and practitioners working on diverse topics related to understanding and improving the usability of privacy and security software and systems, by applying user modeling, adaptation and personalization principles. Our special focus in 2020 is on healthcare systems, more specifically on ensuring security and privacy of medical data in smart patient-centric healthcare systems. The second edition of the workshop includes interdisciplinary contributions from Austria, Canada, China, Cyprus, Denmark, Germany, Greece, Israel, the Netherlands, Turkey and the UK that introduce new and disruptive ideas, suggest novel solutions, and present research results about various aspects (theory, applications, tools) for bringing user modeling, adaptation and personalization principles into privacy and systems security. This summary gives a brief overview of APPS 2020, held online in conjunction with the 28th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2020).
Belk , M , Fidas , C , Kuster Filipe Bowles , J , Athanasopoulos , E & Pitsillides , A 2020 , APPS 2020 : Second International Workshop on Adaptive and Personalized Privacy and Security . in Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '20) . ACM , New York , pp. 398–399 , 28th Conference on User Modeling, Adaptation and Personalization (UMAP '20) , Genoa , Italy , 12/07/20 . https://doi.org/10.1145/3340631.3398674conference
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '20)
Copyright © 2020 the Author(s). This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1145/3340631.3398674
DescriptionFunding: The work has been partially supported by the EU Horizon 2020 Grant 826278 “Securing Medical Data in Smart Patient-Centric Healthcare Systems”(Serums).
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