Evaluating the Impact of Attacks in Collaborative Tagging Environments

@article{Ramezani2009EvaluatingTI,
  title={Evaluating the Impact of Attacks in Collaborative Tagging Environments},
  author={Maryam Ramezani and Jeff J. Sandvig and Thomas Schimoler and Jonathan Gemmell and Bamshad Mobasher and Robin D. Burke},
  journal={2009 International Conference on Computational Science and Engineering},
  year={2009},
  volume={4},
  pages={136-143}
}
Abstract—The proliferation of social web technologies such as collaborative tagging has led to an increasing awareness of their vulnerability to misuse. Attackers may attempt to distort the system’s adaptive behavior by inserting erroneous or misleading annotations, thus altering the way in which information is presented to legitimate users. Prior work on recommender systems has shown that studying different attack types, their properties and their impact, can help identify robust algorithms… CONTINUE READING

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Incremental Relabeling for Active Learning with Noisy Crowdsourced Annotations

  • 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing
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On the Navigability of Social Tagging Systems

  • 2010 IEEE Second International Conference on Social Computing
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