collaborators

5 papers

cs.AI2026

CIDER: A Dataset of Contextual Disclosure Boundaries for Privacy Preference Alignment

Bingcan Guo, Eryue Xu, Jijie Zhou +2

Aligning large language models (LLMs) with human privacy preferences requires capturing individuals' disclosure boundaries beyond general privacy norms. However, a gap remains in e…

cs.HC2026

Comparing Human Oversight Strategies for Computer-Use Agents

Chaoran Chen, Zhiping Zhang, Zeya Chen +9

LLM-powered computer-use agents (CUAs) are shifting users from direct manipulation to supervisory coordination. Existing oversight mechanisms, however, have largely been studied as…

cs.HC2026

From Fragmentation to Integration: Exploring the Design Space of AI Agents for Human-as-the-Unit Privacy Management

Eryue Xu, Tianshi Li

Managing one's digital footprint is overwhelming, as it spans multiple platforms and involves countless context-dependent decisions. Recent advances in agentic AI offer ways forwar…

cs.CR2025

Not My Agent, Not My Boundary? Elicitation of Personal Privacy Boundaries in AI-Delegated Information Sharing

Bingcan Guo, Eryue Xu, Zhiping Zhang +1

Aligning AI systems with human privacy preferences requires understanding individuals' nuanced disclosure behaviors beyond general norms. Yet eliciting such boundaries remains chal…

cs.HC2025

Rescriber: Smaller-LLM-Powered User-Led Data Minimization for LLM-Based Chatbots

Jijie Zhou, Eryue Xu, Yaoyao Wu +1

The proliferation of LLM-based conversational agents has resulted in excessive disclosure of identifiable or sensitive information. However, existing technologies fail to offer per…