27 citations · 49 across the 25 of their papers we have counts for
26 papers
Understanding Security and Privacy Perceptions of Content Creators Regarding AI Labels of AI-Generated Content
Shuning Zhang, Hui Wang, Rongjun Ma +4
AI labels, typically implemented via underlying tracing mechanisms such as watermarks and metadata, are crucial for protecting Artificial Intelligence-Generated Content (AIGC) agai…
Narrative Structure in Tropes: A Computational Analysis of `Friends'
Shun Zhang, Tabia Tanzin Prama, Christopher M. Danforth +1
Tropes are recurring narrative devices in television and film. We carry out a computational analysis of tropes in the sitcom Friends, using human-curated trope annotations from TVT…
CANote: Empowering Fact-checking Note Writing Through Scaffolded and Provenance-based Human-AI Collaboration
Shuning Zhang, Jingruo Chen, Yuwei Chuai +4
Crowdsourced fact-checking mechanisms, such as X's Community Notes, play a critical role in mitigating the spread of misinformation. However, drafting high-quality, evidence-based…
Towards Multi-Agent-Simulation-Based Community Note Evaluation
Changxi Wen, Shuning Zhang, Bohao Chu +5
Community-based fact-checking that relies on cross-consensus is expanding rapidly on social media platforms. However, the delay and low-ratio of cross-consensus community fact-chec…
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…
Generative AI-Enabled Refund Fraud in Chinese E-Commerce: Investigation on Merchants and Platform Workers
Shuning Zhang, Eve He, Xiao Zhan +4
E-commerce dispute resolution typically relies on the security assumption that digital evidence truthfully reflects physical reality. Generative AI (GenAI) invalidates this threat…
Focused on the User, Overlooking the Risks: Security and Privacy Understandings, Practices and Challenges of Independent Chinese AI Agent Developers
Shuning Zhang, Mingyao Xu, Zhixin Huang +6
The proliferation of AI agents empowers independent developers, defined as individual or small groups who self-initiate projects rather than fulfill client-based contracts, to crea…
VisGuardian: A Lightweight Group-based Privacy Control Technique For Front Camera Data From AR Glasses in Home Environments
Shuning Zhang, Qucheng Zang, Yongquan `Owen' Hu +7
Always-on sensing of AI applications on AR glasses makes traditional permission techniques ill-suited for context-dependent visual data, especially within home environments. The ho…
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…
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…
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…
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…
Request a Note: How the Request Function Shapes X's Community Notes System
Yuwei Chuai, Shuning Zhang, Ziming Wang +3
X's Community Notes is a crowdsourced fact-checking system. To improve its scalability, X introduced ``Request Community Note'' feature, enabling users to solicit fact-checks from…
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…
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…
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…
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…
Exploring Collaboration Patterns and Strategies in Human-AI Co-creation through the Lens of Agency: A Scoping Review of the Top-tier HCI Literature
Shuning Zhang, Hui Wang, Xin Yi
As Artificial Intelligence (AI) increasingly becomes an active collaborator in co-creation, understanding the distribution and dynamic of agency is paramount. The Human-Computer In…
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…
"Ghost of the past": identifying and resolving privacy leakage from LLM's memory through proactive user interaction
Shuning Zhang, Lyumanshan Ye, Xin Yi +5
Memories, encompassing past inputs in context window and retrieval-augmented generation (RAG), frequently surface during human-LLM interactions, yet users are often unaware of thei…
Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction
Shuning Zhang, Xin Yi, Haobin Xing +3
Current Large Language Models (LLMs) cannot support users to precisely balance privacy protection and output performance during individual consultations. We introduce Adanonymizer,…
Natural Language but Omitted? On the Ineffectiveness of Large Language Models' privacy policy from End-users' Perspective
Shuning Zhang, Haobin Xing, Xin Yi +1
LLMs driven products were increasingly prevalent in our daily lives, With a natural language based interaction style, people may potentially leak their personal private information…