134 citations · 176 across the 18 of their papers we have counts for
7 papers · 1 filter
Position: Contextual Integrity is Inadequately Applied to Language Models
Yan Shvartzshnaider, Vasisht Duddu
Machine learning community is discovering Contextual Integrity (CI) as a useful framework to assess the privacy implications of large language models (LLMs). This is an encouraging…
Enclosed Loops: How open source communities become datasets
Madiha Zahrah Choksi, Ilan Mandel, David Goedicke +1
Centralization in code hosting and package management in the 2010s created fundamental shifts in the social arrangements of open source ecosystems. In a regime of centralized open…
Contextual Integrity of A Virtual (Reality) Classroom
Karoline Brehm, Yan Shvartzshnaider, David Goedicke
The multicontextual nature of immersive VR makes it difficult to ensure contextual integrity of VR-generated information flows using existing privacy design and policy mechanisms.…
Stop the Spread: A Contextual Integrity Perspective on the Appropriateness of COVID-19 Vaccination Certificates
Shikun Zhang, Yan Shvartzshnaider, Yuanyuan Feng +2
We present an empirical study exploring how privacy influences the acceptance of vaccination certificate (VC) deployments across different realistic usage scenarios. The study empl…
Analyzing Privacy Policies Using Contextual Integrity Annotations
Yan Shvartzshnaider, Noah Apthorpe, Nick Feamster +1
In this paper, we demonstrate the effectiveness of using the theory of contextual integrity (CI) to annotate and evaluate privacy policy statements. We perform a case study using C…
Discovering Smart Home Internet of Things Privacy Norms Using Contextual Integrity
Noah Apthorpe, Yan Shvartzshnaider, Arunesh Mathur +2
The proliferation of Internet of Things (IoT) devices for consumer "smart" homes raises concerns about user privacy. We present a survey method based on the Contextual Integrity (C…