activity
20242026
most cited"Ghost of the past": identifying and resolving privacy leakage from LLM's memory through proactive user interaction

4 citations · 6 across the 29 of their papers we have counts for

collaborators
Showing 2025Show all

15 papers · 1 filter

cs.HC2025

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…

cs.HC2025

"Power of Words": Stealthy and Adaptive Private Information Elicitation via LLM Communication Strategies

Shuning Zhang, Jiaqi Bai, Linzhi Wang +3

While communication strategies of Large Language Models (LLMs) are crucial for human-LLM interactions, they can also be weaponized to elicit private information, yet such stealthy…

cs.HC2025

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…

cs.HC2025

Position: Human-Robot Interaction in Embodied Intelligence Demands a Shift From Static Privacy Controls to Dynamic Learning

Shuning Zhang, Hong Jia, Simin Li +4

The reasoning capabilities of embodied agents introduce a critical, under-explored inferential privacy challenge, where the risk of an agent generate sensitive conclusions from amb…

cs.HC2025

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…

cs.HC2025

PrivWeb: Unobtrusive and Content-aware Privacy Protection For Web Agents

Shuning Zhang, Yutong Jiang, Rongjun Ma +5

While web agents gained popularity by automating web interactions, their requirement for interface access introduces significant privacy risks that are understudied, particularly f…

cs.HC2025

Fact-Checking Comments Precede Community Notes to Misleading Posts on X

Shuning Zhang, Dai Shi, Yuwei Chuai +6

Community-based fact-checking systems, such as X's Community Notes program, offer a potentially scalable approach against online misinformation diffusion. However, their efficacy i…

cs.HC2025

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…

cs.HC2025

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…

cs.HC2025

Through Their Eyes: User Perceptions on Sensitive Attribute Inference of Social Media Videos by Visual Language Models

Shuning Zhang, Gengrui Zhang, Yibo Meng +4

The rapid advancement of Visual Language Models (VLMs) has enabled sophisticated analysis of visual content, leading to concerns about the inference of sensitive user attributes an…

cs.HC2025

The Manipulative Power of Voice Characteristics: Investigating Deceptive Patterns in Mandarin Chinese Female Synthetic Speech

Shuning Zhang, Han Chen, Yabo Wang +7

Pervasive voice interaction enables deceptive patterns through subtle voice characteristics, yet empirical investigation into this manipulation lags behind, especially within major…

cs.HC2025

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…

cs.HC2025

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…

cs.HC2025★ 1 cited

Characterizing Unintended Consequences in Human-GUI Agent Collaboration for Web Browsing

Shuning Zhang, Jingruo Chen, Zhiqi Gao +3

The proliferation of Large Language Model (LLM)-based Graphical User Interface (GUI) agents in web browsing scenarios present complex unintended consequences (UCs). This paper char…

cs.HC2025

Actual Achieved Gain and Optimal Perceived Gain: Modeling Human Take-over Decisions Towards Automated Vehicles' Suggestions

Shuning Zhang, Xin Yi, Shixuan Li +7

Driver decision quality in take-overs is critical for effective human-Autonomous Driving System (ADS) collaboration. However, current research lacks detailed analysis of its variat…