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Measuring Real-World Accuracies and Biases in Modeling Password Guessability., , , , , , , , , and . USENIX Security Symposium, page 463-481. USENIX Association, (2015)Telepathwords: Preventing Weak Passwords by Reading Users' Minds., , , , and . USENIX Security Symposium, page 591-606. USENIX Association, (2014)Privacy in India: Attitudes and Awareness., and . Privacy Enhancing Technologies, volume 3856 of Lecture Notes in Computer Science, page 243-258. Springer, (2005)Better Together: Usability and Security Go Hand in Hand., and . IEEE Secur. Priv., 12 (6): 89-93 (2014)The impact of privacy indicators on search engine browsing patterns., , , and . SOUPS, ACM, (2009)"I regretted the minute I pressed share": a qualitative study of regrets on Facebook., , , , , and . SOUPS, page 10. ACM, (2011)User-controllable learning of security and privacy policies., , , and . AISec, page 11-18. ACM, (2008)Privacy in e-commerce: examining user scenarios and privacy preferences., , and . EC, page 1-8. ACM, (1999)Practical Recommendations for Stronger, More Usable Passwords Combining Minimum-strength, Minimum-length, and Blocklist Requirements., , , and . CCS, page 1407-1426. ACM, (2020)Cantina: a content-based approach to detecting phishing web sites., , and . WWW, page 639-648. ACM, (2007)