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Discovering access-control misconfigurations: new approaches and evaluation methodologies.

, , , and . CODASPY, page 95-104. ACM, (2012)

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Measuring Real-World Accuracies and Biases in Modeling Password Guessability., , , , , , , , , and . USENIX Security Symposium, page 463-481. USENIX Association, (2015)Adversarial Generative Nets: Neural Network Attacks on State-of-the-Art Face Recognition., , , and . CoRR, (2018)Enforcing More with Less: Formalizing Target-Aware Run-Time Monitors., , , and . STM, volume 7783 of Lecture Notes in Computer Science, page 17-32. Springer, (2012)Efficient Proving for Practical Distributed Access-Control Systems., , and . ESORICS, volume 4734 of Lecture Notes in Computer Science, page 19-37. Springer, (2007)Designing Password Policies for Strength and Usability., , , , , , , , , and . ACM Trans. Inf. Syst. Secur., 18 (4): 13:1-13:34 (2016)"Did you know this camera tracks your mood?": Understanding Privacy Expectations and Preferences in the Age of Video Analytics., , , , , and . Proc. Priv. Enhancing Technol., 2021 (2): 282-304 (2021)OmniCrawl: Comprehensive Measurement of Web Tracking With Real Desktop and Mobile Browsers., , , , , , , , and . Proc. Priv. Enhancing Technol., 2022 (1): 227-252 (2022)Toward strong, usable access control for shared distributed data., , , , , , , and . FAST, page 89-103. USENIX, (2014)Consumable Credentials in Linear-Logic-Based Access-Control Systems., , , , and . NDSS, The Internet Society, (2007)Practical Recommendations for Stronger, More Usable Passwords Combining Minimum-strength, Minimum-length, and Blocklist Requirements., , , and . CCS, page 1407-1426. ACM, (2020)