Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction

Documenti analoghi

• "Ghost of the past": identifying and resolving privacy leakage from LLM's memory through proactive user interaction
  di: Zhang, Shuning, et al.
  Pubblicazione: (2024)
• Position: Human-Robot Interaction in Embodied Intelligence Demands a Shift From Static Privacy Controls to Dynamic Learning
  di: Zhang, Shuning, et al.
  Pubblicazione: (2025)
• Natural Language but Omitted? On the Ineffectiveness of Large Language Models' privacy policy from End-users' Perspective
  di: Zhang, Shuning, et al.
  Pubblicazione: (2024)
• "Privacy across the boundary": Examining Perceived Privacy Risk Across Data Transmission and Sharing Ranges of Smart Home Personal Assistants
  di: Zhang, Shuning, et al.
  Pubblicazione: (2026)
• Evaluating the Efficacy of Large Language Models for Generating Fine-Grained Visual Privacy Policies in Homes
  di: Zhang, Shuning, et al.
  Pubblicazione: (2025)