2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CR2025
Prompt Inversion Attack against Collaborative Inference of Large Language Models
Wenjie Qu, Yuguang Zhou, Yongji Wu +4
Large language models (LLMs) have been widely applied for their remarkable capability of content generation. However, the practical use of open-source LLMs is hindered by high reso…
cs.LG2025★ 2 cited
CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models
Guanduo Chen, Yutong He, Yipeng Hu +2
Large Language Models (LLMs) demonstrate exceptional performance across various tasks but demand substantial computational resources even for fine-tuning computation. Although Low-…