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Measuring Real-World Accuracies and Biases in Modeling Password Guessability., , , , , , , , , и . USENIX Security Symposium, стр. 463-481. USENIX Association, (2015)Supporting Password-Security Decisions with Data.. Carnegie Mellon University, USA, (2016)"It's Stored, Hopefully, on an Encrypted Server": Mitigating Users' Misconceptions About FIDO2 Biometric WebAuthn., , , и . USENIX Security Symposium, стр. 91-108. USENIX Association, (2021)A Spoonful of Sugar?: The Impact of Guidance and Feedback on Password-Creation Behavior., , , , , , , , , и . CHI, стр. 2903-2912. ACM, (2015)User Perceptions of the Usability and Security of Smartphones as FIDO2 Roaming Authenticators., , , и . SOUPS @ USENIX Security Symposium, стр. 57-76. USENIX Association, (2021)Analysis of Google Ads Settings Over Time: Updated, Individualized, Accurate, and Filtered., , , и . WPES@CCS, стр. 167-172. ACM, (2023)Reasoning Analytically about Password-Cracking Software., , , , и . IEEE Symposium on Security and Privacy, стр. 380-397. IEEE, (2019)Design and Evaluation of a Data-Driven Password Meter., , , , , , , , , и 2 other автор(ы). CHI, стр. 3775-3786. ACM, (2017)AutoTap: synthesizing and repairing trigger-action programs using LTL properties., , , , , и . ICSE, стр. 281-291. IEEE / ACM, (2019)Taking Data Out of Context to Hyper-Personalize Ads: Crowdworkers' Privacy Perceptions and Decisions to Disclose Private Information., , , , , и . CHI, стр. 1-13. ACM, (2020)