10 papers
Investigating Novice Researchers' Perceptions of Research Privacy Within LLM-Assisted Workflows
Shuning Zhang, Changxi Wen, Eve He +4
Large Language Model (LLMs)-assisted scholarly workflows introduce critical privacy and intellectual property risks. As a uniquely vulnerable cohort driven by publication pressure…
Capability Conditioned Scaffolding for Professional Human LLM Collaboration
Sen Yang, Yinglei Ma
Large language model personalization typically adapts outputs to user preferences and style but does not account for differences in user evaluation capacity across domains of exper…
A Scoping Review and Guidelines on Privacy Policy's Visualization from an HCI Perspective
Shuning Zhang, Eve He, Sixing Tao +5
Privacy Policies are a cornerstone of informed consent, yet a persistent gap exists between their legal intent and practical efficacy. Despite decades of Human-Computer Interaction…
SoK: Synthesizing Smart Home Privacy Protection Mechanisms Across Academic Proposals and Commercial Documentations
Shuning Zhang, Yijing Liu, Yuyu Liu +5
Pervasive data collection by Smart Home Devices (SHDs) demands robust Privacy Protection Mechanisms (PPMs). The effectiveness of many PPMs, particularly user-facing controls, depen…
The Pervasive Blind Spot: Benchmarking VLM Inference Risks on Everyday Personal Videos
Shuning Zhang, Zhaoxin Li, Changxi Wen +8
The proliferation of Vision-Language Models (VLMs) introduces profound privacy risks from personal videos. This paper addresses the critical yet unexplored inferential privacy thre…
Conflect: Designing Reflective Thinking-Based Contextual Privacy Policy for Mobile Applications
Shuning Zhang, Sixing Tao, Eve He +5
Privacy policies are lengthy and complex, leading to user neglect. While contextual privacy policies (CPPs) present information at the point of risk, they may lack engagement and d…