Toward Automatic Simulation of Aging Effects on Face Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information revelation and privacy in online social networks
Proceedings of the 2005 ACM workshop on Privacy in the electronic society
Learning from facial aging patterns for automatic age estimation
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Characterizing privacy in online social networks
Proceedings of the first workshop on Online social networks
User interactions in social networks and their implications
Proceedings of the 4th ACM European conference on Computer systems
Proceedings of the 18th international conference on World wide web
Moving beyond untagging: photo privacy in a tagged world
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
I know what you will do next summer
ACM SIGCOMM Computer Communication Review
The Facebook Effect: The Inside Story of the Company That Is Connecting the World
The Facebook Effect: The Inside Story of the Company That Is Connecting the World
Inferring privacy information from social networks
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
Analysis of vulnerability to facebook users
Proceedings of the 18th Brazilian symposium on Multimedia and the web
Using contextual integrity to examine interpersonal information boundary on social network sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Antecipando possíveis implicações de privacidade na postagem de fotos no Facebook
Proceedings of the 12th Brazilian Symposium on Human Factors in Computing Systems
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Social-networking users unknowingly reveal certain kinds of personal information that malicious attackers could profit from to perpetrate significant privacy breaches. This paper quantitatively demonstrates how the simple act of tagging pictures on the social-networking site of Facebook could reveal private user attributes that are extremely sensitive. Our results suggest that photo tags can be used to help predicting some, but not all, of the analyzed attributes. We believe our analysis make users aware of significant breaches of their privacy and could inform the design of new privacy-preserving ways of tagging pictures on social-networking sites.