7 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CR2024★ 7 cited
A Cross-Language Investigation into Jailbreak Attacks in Large Language Models
Jie Li, Yi Liu, Chongyang Liu +5
Large Language Models (LLMs) have become increasingly popular for their advanced text generation capabilities across various domains. However, like any software, they face security…
cs.CL2023
Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter
Yi Liu, Xiaohan Bi, Lei Li +3
Federated Multilingual Neural Machine Translation (Fed-MNMT) has emerged as a promising paradigm for institutions with limited language resources. This approach allows multiple ins…
cs.LG2023★ 3 cited
XFL: A High Performace, Lightweighted Federated Learning Framework
Hong Wang, Yuanzhi Zhou, Chi Zhang +4
This paper introduces XFL, an industrial-grade federated learning project. XFL supports training AI models collaboratively on multiple devices, while utilizes homomorphic encryptio…