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Sophie Veys
Sophie Veys
University of Chicago
Computer science
Internet privacy
Private information retrieval
Perception
Human–computer interaction
4
Papers
17
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Pursuing Usable and Useful Data Downloads Under GDPR/CCPA Access Rights via Co-Design.
2021
SOUPS | Symposium On Usable Privacy and Security
Sophie Veys
Daniel Serrano
Madison Stamos
Margot Herman
Nathan Reitinger
Michelle L. Mazurek
Blase Ur
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Taking Data Out of Context to Hyper-Personalize Ads: Crowdworkers' Privacy Perceptions and Decisions to Disclose Private Information.
2020
CHI | Human Factors in Computing Systems
Julia Hanson
Miranda Wei
Sophie Veys
Matthew B. Kugler
Lior Jacob Strahilevitz
Blase Ur
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What Twitter Knows: Characterizing Ad Targeting Practices, User Perceptions, and Ad Explanations Through Users' Own Twitter Data
2020
SECURITY | USENIX Security Symposium
Miranda Wei
Madison Stamos
Sophie Veys
Nathan Reitinger
Justin Goodman
Margot Herman
Dorota Filipczuk
Ben Weinshel
Michelle L. Mazurek
Blase Ur
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What Twitter Knows: Characterizing Ad Targeting Practices, User Perceptions, and Ad Explanations Through Users' Own Twitter Data
2020
SECURITY | USENIX Security Symposium
Miranda Wei
Madison Stamos
Sophie Veys
Nathan Reitinger
Justin Goodman
Margot Herman
Dorota Filipczuk
Ben Weinshel
Michelle L. Mazurek
Blase Ur
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Citations (6)
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