4 citations · 6 across the 29 of their papers we have counts for
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cs.HC2024★ 4 cited
"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…
cs.HC2024
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,…
cs.HC2024
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…