Information revelation and privacy in online social networks
Proceedings of the 2005 ACM workshop on Privacy in the electronic society
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Link privacy in social networks
Proceedings of the 17th ACM conference on Information and knowledge management
Testing metrics for password creation policies by attacking large sets of revealed passwords
Proceedings of the 17th ACM conference on Computer and communications security
Of passwords and people: measuring the effect of password-composition policies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
FC'10 Proceedings of the 14th international conference on Financial Cryptography and Data Security
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In a world where sensitive data can be published to a worldwide audience with the press of a button, researchers are increasingly making use of datasets that were publicized under questionable circumstances. In many cases, such research would otherwise not be possible. For instance, Weir et al. examined over thirty million user-generated passwords in order to observe the effects of entropy on password cracking [10].