most citedThe Dark Side of Function Calling: Pathways to Jailbreaking Large Language Models

2 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2025

Whispers of Data: Unveiling Label Distributions in Federated Learning Through Virtual Client Simulation

Zhixuan Ma, Haichang Gao, Junxiang Huang +1

Federated Learning enables collaborative training of a global model across multiple geographically dispersed clients without the need for data sharing. However, it is susceptible t…

cs.LG2025

HumorReject: Decoupling LLM Safety from Refusal Prefix via A Little Humor

Zihui Wu, Haichang Gao, Jiacheng Luo +1

Large Language Models (LLMs) commonly rely on explicit refusal prefixes for safety, making them vulnerable to prefix injection attacks. We introduce HumorReject, a novel data-drive…