2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CR2025★ 1 cited
Stealing Training Data from Large Language Models in Decentralized Training through Activation Inversion Attack
Chenxi Dai, Lin Lu, Pan Zhou
Decentralized training has become a resource-efficient framework to democratize the training of large language models (LLMs). However, the privacy risks associated with this framew…
cs.LG2023★ 2 cited
Exploring the Robustness of Decentralized Training for Large Language Models
Lin Lu, Chenxi Dai, Wangcheng Tao +3
Decentralized training of large language models has emerged as an effective way to democratize this technology. However, the potential threats associated with this approach have no…