document: Inferring private information using social network data On-line social networks , such as Facebook , are increasingly utilized by many users . These networks allow people to publish details about themselves and connect to their friends . Some of the information revealed inside these networks is private and it is possible that corporations could use learning algorithms on the released data to predict undisclosed private information . In this paper , we explore how to launch inference attacks using released social networking data to predict undisclosed private information about individuals . We then explore the effectiveness of possible sanitization techniques that can be used to combat such inference attacks under different scenarios .
doc_bio_tags: O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O