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  4. PrivInferVis: Towards Enhancing Transparency over Attribute Inference in Online Social Networks
 
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2021
Conference Paper
Title

PrivInferVis: Towards Enhancing Transparency over Attribute Inference in Online Social Networks

Abstract
The European GDPR calls, besides other things, for innovative tools to empower online social networks (OSN) users with transparency over risks of attribute inferences. In this work, we propose a novel transparency-enhancing framework for OSN, PrivInferVis, to help people assess and visualize their individual risks of attribute inference derived from public details from their social graphs in different OSN domains. We propose a weighted Bayesian model as the underlying method for attribute inference. A preliminary evaluation shows that our proposal outperforms baseline algorithms on several evaluation metrics significantly. PrivInferVis provides visual interfaces that allow users to explore details about their (inferred and self-disclosed) data and to understand how inference estimates and related scores are derived.
Author(s)
Simo, Hervais
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Shulman, Haya  
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Schufrin, Marija  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Reynolds, Steven Lamarr  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kohlhammer, Jörn  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
IEEE INFOCOM 2021, Conference on Computer Communications Workshops (INFOCOM WKSHPS)  
Project(s)
ATHENE
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)  
Conference
Conference on Computer Communications (INFOCOM) 2021  
DOI
10.1109/INFOCOMWKSHPS51825.2021.9484595
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Keyword(s)
  • Lead Topic: Visual Computing as a Service

  • Research Line: Computer graphics (CG)

  • Research Line: Human computer interaction (HCI)

  • information visualization

  • privacy protection

  • usability

  • privacy enhancing technologies

  • data visualization

  • ATHENE

  • CRISP

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