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Collaboration technologies enable teams of humans or machines (or a combination of both) to cooperate and provide new services or improve their performance. Furthermore, social computing facilitates collective action and social interaction. While such collaboration and interaction enables many diverse opportunities, it also raises concerns about user privacy.

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We are interested in papers that address various privacy challenges in collaborative and social computing including (but not limited to):

  • Access control techniques for preserving user privacy

  • Adversary models for privacy

  • Anonymity and pseudonymity

  • Data anonymization techniques

  • Detecting privacy violations

  • Privacy and ethical implications

  • Privacy-preserving data mining

  • Privacy-preserving data publishing

  • Scalable privacy technologies

  • Understanding privacy policies

  • Usability of privacy technologies

The collaborative and social computing application areas of interest include, but are not limited to:

  • Collaborative authoring and tagging systems

  • Collaborative learning systems

  • Collaborative sensor networks

  • Crowdsourcing systems

  • Human computation

  • Internet of Things

  • Online social networks

  • Recommender systems

  • Vehicular networks

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重要日期
  • 10月31日

    2016

    会议日期

  • 10月31日 2016

    注册截止日期

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