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DeepPhish: Understanding User Trust Towards Artificially Generated Profiles in Online Social Networks.

, , , , , и . USENIX Security Symposium, стр. 1669-1686. USENIX Association, (2022)

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Exploring algorithmic realism in the data economy. University of Illinois Urbana-Champaign, USA, (2021)WebAlly: Making Visual Task-based CAPTCHAs Transferable for People with Visual Impairments., , , , , и . SOUPS @ USENIX Security Symposium, стр. 281-298. USENIX Association, (2021)Who Am I?: A Design Probe Exploring Real-Time Transparency about Online and Offline User Profiling Underlying Targeted Ads., , , и . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 5 (3): 88:1-88:32 (2021)Designing for Trust: A Behavioral Framework for Sharing Economy Platforms., , , и . WWW, стр. 2133-2143. ACM / IW3C2, (2020)DeepPhish: Understanding User Trust Towards Artificially Generated Profiles in Online Social Networks., , , , , и . USENIX Security Symposium, стр. 1669-1686. USENIX Association, (2022)"Every Website Is a Puzzle!": Facilitating Access to Common Website Features for People with Visual Impairments., , , и . ACM Trans. Access. Comput., 15 (3): 19:1-19:35 (2022)Do Privacy and Security Matter to Everyone? Quantifying and Clustering User-Centric Considerations About Smart Home Device Adoption., , и . SOUPS @ USENIX Security Symposium, стр. 417-435. USENIX Association, (2020)When and Why Do People Want Ad Targeting Explanations? Evidence from a Four-Week, Mixed-Methods Field Study., , , , , , и . SP, стр. 2903-2920. IEEE, (2023)GuardLens: Supporting Safer Online Browsing for People with Visual Impairments., , , , , , , и . SOUPS, стр. 361-380. USENIX Association, (2023)