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…
Towards Aligning Personalized Conversational Recommendation Agents with Users' Privacy Preferences
Shuning Zhang, Ying Ma, Jingruo Chen +3
The proliferation of AI agents, with their complex and context-dependent actions, renders conventional privacy paradigms obsolete. This position paper argues that the current model…
Understanding Users' Privacy Perceptions Towards LLM's RAG-based Memory
Shuning Zhang, Rongjun Ma, Ying Ma +4
Large Language Models (LLMs) are increasingly integrating memory functionalities to provide personalized and context-aware interactions. However, user understanding, practices and…
From Patient Burdens to User Agency: Designing for Real-Time Protection Support in Online Health Consultations
Shuning Zhang, Ying Ma, Yongquan `Owen' Hu +4
Online medical consultation platforms, while convenient, are undermined by significant privacy risks that erode user trust. We first conducted in-depth semi-structured interviews w…
Evaluating the Efficacy of Large Language Models for Generating Fine-Grained Visual Privacy Policies in Homes
Shuning Zhang, Ying Ma, Xin Yi +1
The proliferation of visual sensors in smart home environments, particularly through wearable devices like smart glasses, introduces profound privacy challenges. Existing privacy c…