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Florian Schaub

Researcher at University of Michigan

Publications -  142
Citations -  6646

Florian Schaub is an academic researcher from University of Michigan. The author has contributed to research in topics: Information privacy & Privacy policy. The author has an hindex of 37, co-authored 127 publications receiving 4861 citations. Previous affiliations of Florian Schaub include Carnegie Mellon University & University of Ulm.

Papers
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Journal ArticleDOI

Pseudonym Schemes in Vehicular Networks: A Survey

TL;DR: This survey covers pseudonym schemes based on public key and identity-based cryptography, group signatures and symmetric authentication, and compares the different approaches, gives an overview of the current state of standardization, and identifies open research challenges.
Journal ArticleDOI

Alexa, Are You Listening?: Privacy Perceptions, Concerns and Privacy-seeking Behaviors with Smart Speakers

TL;DR: It is found that many non-users did not see the utility of smart speakers or did not trust speaker companies, and current smart speaker privacy controls are rarely used, as they are not well-aligned with users' needs.
Journal ArticleDOI

Nudges for Privacy and Security: Understanding and Assisting Users’ Choices Online

TL;DR: This article focuses on research on assisting individuals’ privacy and security choices with soft paternalistic interventions that nudge users toward more beneficial choices and identifies key ethical, design, and research challenges.
Proceedings ArticleDOI

Your Location has been Shared 5,398 Times!: A Field Study on Mobile App Privacy Nudging

TL;DR: A study that evaluates the benefits of giving users an app permission manager and sending them nudges intended to raise their awareness of the data collected by their apps finds that these approaches are complementary and can each play a significant role in empowering users to more effectively control their privacy.
Book ChapterDOI

A design space for effective privacy notices

TL;DR: This paper surveys the existing literature on privacy notices and identifies challenges, requirements, and best practices for privacy notice design, and mapping out the design space for privacy notices by identifying relevant dimensions provides a taxonomy and consistent terminology of notice approaches.