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On the Limited Impact of Visualizing Encryption: Perceptions of E2E Messaging Security.

, , , , , , , , and . SOUPS @ USENIX Security Symposium, page 437-454. USENIX Association, (2021)

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Helping Users Debug Trigger-Action Programs., , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 6 (4): 196:1-196:32 (2022)Smart, useful, scary, creepy: perceptions of online behavioral advertising., , , , and . SOUPS, page 4. ACM, (2012)Fast, Lean, and Accurate: Modeling Password Guessability Using Neural Networks., , , , , , and . USENIX Security Symposium, page 175-191. USENIX Association, (2016)Moving Beyond Set-It-And-Forget-It Privacy Settings on Social Media., , , , , , , , and . CCS, page 991-1008. ACM, (2019)Summarizing Sets of Related ML-Driven Recommendations for Improving File Management in Cloud Storage., , , and . UIST, page 95:1-95:11. ACM, (2022)Unpacking Perceptions of Data-Driven Inferences Underlying Online Targeting and Personalization., , , , , , and . CHI, page 493. ACM, (2018)Trigger-Action Programming in the Wild: An Analysis of 200, 000 IFTTT Recipes., , , , , , , and . CHI, page 3227-3231. ACM, (2016)SoK: Context Sensing for Access Control in the Adversarial Home IoT., , , , , , and . EuroS&P, page 37-53. IEEE, (2021)Understanding the Security and Privacy Advice Given to Black Lives Matter Protesters., , , and . CHI, page 549:1-549:18. ACM, (2021)JupyterLab in Retrograde: Contextual Notifications That Highlight Fairness and Bias Issues for Data Scientists., , , , , , and . CHI, page 475:1-475:19. ACM, (2024)