6 papers
Learning Password Best Practices Through In-Task Instruction
Qian Ma, Yingfan Zhou, Shubhang Kaushik +6
Users often make security- and privacy-relevant decisions without a clear understanding of the rules that govern safe behavior. We introduce pedagogical friction, a design approach…
Privacy Cards for Surfacing Mental Models and Exploring Privacy Concerns: A Case Study of Voice-First Ambient Interfaces with Older Adults
Andrea Cuadra, Samar Sabie, Yan Shvartzshnaider +1
We investigate the ethical and privacy implications of voice-first ambient interfaces (VFAIs) for aging in place through an in-depth engagement with five older adults. Our particip…
Privacy Bias in Language Models: A Contextual Integrity-based Auditing Metric
Yan Shvartzshnaider, Vasisht Duddu
As large language models (LLMs) are integrated into sociotechnical systems, it is crucial to examine the privacy biases they exhibit. We define privacy bias as the appropriateness…
Measuring NIST Authentication Standards Compliance by Higher Education Institutions
Noah Apthorpe, Boen Beavers, Yan Shvartzshnaider +1
Technical standards are a longstanding method of communicating best practice recommendations based on expert consensus. Cybersecurity standards are particularly important for infor…
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…
Trust and Friction: Negotiating How Information Flows Through Decentralized Social Media
Sohyeon Hwang, Priyanka Nanayakkara, Yan Shvartzshnaider
Decentralized social media protocols enable users in independent, user-hosted servers (i.e., instances) to interact with each other while they self-govern. This community-based mod…