1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2026
Demystifying the Privacy-Utility Trade-off in LLM Interactions
Zhenhua Liu, Zhanxu Xie, Junjie Yu +3
The integration of Large Language Models into daily tasks relies on context-rich instructions, inevitably exposing sensitive user information. Current privacy-preserving methods ty…
cs.CL2024★ 1 cited
LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts
Qibing Ren, Hao Li, Dongrui Liu +7
Safety concerns in large language models (LLMs) have gained significant attention due to their exposure to potentially harmful data during pre-training. In this paper, we identify…