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cs.LG2024
eFedLLM: Efficient LLM Inference Based on Federated Learning
Shengwen Ding, Chenhui Hu
Large Language Models (LLMs) herald a transformative era in artificial intelligence (AI). However, the expansive scale of data and parameters of LLMs requires high-demand computati…
cs.CL2024
CFSafety: Comprehensive Fine-grained Safety Assessment for LLMs
Zhihao Liu, Chenhui Hu
As large language models (LLMs) rapidly evolve, they bring significant conveniences to our work and daily lives, but also introduce considerable safety risks. These models can gene…
cs.LG2024★ 3 cited
Exploring Vulnerabilities and Protections in Large Language Models: A Survey
Frank Weizhen Liu, Chenhui Hu
As Large Language Models (LLMs) increasingly become key components in various AI applications, understanding their security vulnerabilities and the effectiveness of defense mechani…