most citedWinner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.CRShow all

1 paper · 1 filter

cs.CR2024

Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion

Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang +8

Ensuring the security of released large language models (LLMs) poses a significant dilemma, as existing mechanisms either compromise ownership rights or raise data privacy concerns…