4 papers
Affective Context Amplifies Sycophancy in LLM Responses
Jiayi Li, Sanjana Menon, Brett Frischmann +2
As conversational companions, large language models (LLMs) often have access to users' emotional states. We study how this affective context modulates LLM sycophancy in subjective,…
Demonstrably Informed Consent in Privacy Policy Flows: Evidence from a Randomized Experiment
Qian Ma, Aditya Majumdar, Sarah Rajtmajer +1
Privacy policies govern how personal data is collected, used, and shared. Yet, in most privacy-policy consent flows, agreement is operationalized as a single click at the end of a…
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…
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…