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.
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
10月31日
2016
会议日期
注册截止日期
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