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What and Who

Can You Believe It? Security and Privacy Case Studies in Online Advertising, Misinformation, and Augmented Reality

Franziska Roesner
University of Washingtion
SWS Distinguished Lecture Series

Franziska (Franzi) Roesner is an associate professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, where she co-directs the Security and Privacy Research Lab. Her research focuses broadly on computer security and privacy for end users of existing and emerging technologies. For example, her work has studied contexts including the web, smartphones, sensitive user groups (e.g., journalists, survivors of human trafficking), emerging augmented reality (AR) and IoT platforms, and online mis/disinformation. She is the recipient of an MIT Technology Review "Innovators Under 35" Award, an Emerging Leader Alumni Award from the University of Texas at Austin, a Google Security and Privacy Research Award, and an NSF CAREER Award. She serves on the USENIX Security and USENIX Enigma Steering Committees. She received her PhD from the University of Washington in 2014 and her BS from UT Austin in 2008. Her website is at https://www.franziroesner.com.
AG 1, AG 2, AG 3, INET, AG 4, AG 5, SWS, RG1, MMCI  
AG Audience
English

Date, Time and Location

Tuesday, 24 November 2020
16:00
60 Minutes
Virtual
Virtual
Saarbrücken

Abstract

People who use modern technologies are inundated with content and information from many sources, including advertisements on the web, posts on social media, and (looking to the future) content in augmented or virtual reality. While these technologies are transforming our lives and communications in many positive ways, they also come with serious risks to users’ security, privacy, and the trustworthiness of content they see: the online advertising ecosystem tracks individual users and may serve misleading or deceptive ads, social media feeds are full of potential mis/disinformation, and emerging augmented reality technologies can directly modify users’ perceptions of the physical world in undesirable ways. In this talk, I will discuss several lines of research from our lab that explore these issues from a broad computer security and privacy perspective, leveraging methodologies ranging from qualitative user studies to systematic measurement studies to system design and evaluation. What unites these efforts is a key question: what can (or do) users believe about the content they receive through our existing and emerging technologies, and how can we design platforms and ecosystems more robust to these risks?

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Contact

Gretchen Gravelle
+49 681 9303-0
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Gretchen Gravelle, 11/16/2020 11:01 -- Created document.