ChatGLM

The 'ChatGLM' dataset/benchmark is used to evaluate the performance and vulnerabilities of large language models, particularly in the context of federated learning and the impact of gradient assembly poisoning attacks.

Papers using ChatGLM (1)

Low Rank Comes with Low Security: Gradient Assembly Poisoning Attacks against Distributed LoRA-based LLM Systems2026