most citedMeasuring NIST Authentication Standards Compliance by Higher Education Institutions

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

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,…

cs.HC2026

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…

cs.HC2026

Pedagogical Friction in Password Creation

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…

cs.CR2024★ 2 cited

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…

cs.CL2024

The Unappreciated Role of Intent in Algorithmic Moderation of Social Media Content

Xinyu Wang, Sai Koneru, Pranav Narayanan Venkit +2

As social media has become a predominant mode of communication globally, the rise of abusive content threatens to undermine civil discourse. Recognizing the critical nature of this…