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20172026
most cited"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents

87 citations · 178 across the 16 of their papers we have counts for

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Showing cs.CRShow all

5 papers · 1 filter

cs.CR2026

AgentDoxx: Agentic Re-identification of Anonymized Text with Web Search

Jianing Wen, Tianshi Li

As Large Language Models (LLMs) gain tool use capabilities such as web search, they can retrieve and cross-reference public information, creating privacy risks beyond memorization.…

cs.CR2026

LLM Anonymization Against Agentic Re-Identification

Ziwen Li, Jianing Wen, Tianshi Li

Agentic LLMs with web search change the threat model for text anonymization: weak contextual cues can become cross-referenceable evidence for re-identification, yet those same deta…

cs.CR2025

PrivacyMotiv: Vulnerability-Centered Persona Journeys for Empathic Privacy Reviews in UX Design

Zeya Chen, Jianing Wen, Yaxing Yao +2

UX professionals routinely conduct design reviews, yet privacy concerns are often overlooked, not only due to limited tools, but more fundamentally from low intrinsic motivation, d…

cs.CR2024★ 1 cited

{A New Hope}: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation

Shidong Pan, Zhen Tao, Thong Hoang +7

Privacy policies have emerged as the predominant approach to conveying privacy notices to mobile application users. In an effort to enhance both readability and user engagement, th…

cs.CR2021★ 2 cited

The Design of the User Interfaces for Privacy Enhancements for Android

Jason I. Hong, Yuvraj Agarwal, Matt Fredrikson +22

We present the design and design rationale for the user interfaces for Privacy Enhancements for Android (PE for Android). These UIs are built around two core ideas, namely that dev…