A3P: Adaptive policy prediction for shared images over popular content sharing sites

Anna Squicciarini, Smitha Sundareswaran, Dan Lin, Josh Wede

Research output: Chapter in Book/Report/Conference proceedingConference contribution

50 Scopus citations

Abstract

More and more people go online today and share their personal images using popular web services like Picasa. While enjoying the convenience brought by advanced technology, people also become aware of the privacy issues of data being shared. Recent studies have highlighted that people expect more tools to allow them to regain control over their privacy. In this work, we propose an Adaptive Privacy Policy Prediction (A3P) system to help users compose privacy settings for their images. In particular, we examine the role of image content and metadata as possible indicators of users' privacy preferences. We propose a two-level image classification framework to obtain image categories which may be associated with similar policies. Then, we develop a policy prediction algorithm to automatically generate a policy for each newly uploaded image. Most importantly, the generated policy will follow the trend of the user's privacy concerns evolved with time. We have conducted an extensive user study and the results demonstrate effectiveness of our system with the prediction accuracy around 90%.

Original languageEnglish (US)
Title of host publicationHT 2011 - Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia
PublisherAssociation for Computing Machinery
Pages261-270
Number of pages10
ISBN (Print)9781450302562
DOIs
StatePublished - Jan 1 2011

Publication series

NameHT 2011 - Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

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    Squicciarini, A., Sundareswaran, S., Lin, D., & Wede, J. (2011). A3P: Adaptive policy prediction for shared images over popular content sharing sites. In HT 2011 - Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia (pp. 261-270). (HT 2011 - Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia). Association for Computing Machinery. https://doi.org/10.1145/1995966.1996000