Rongfei Zeng — accepted AI-conference papers

2026

JailbreakLoRA: Your Downloaded LoRA from Sharing Platforms might be Unsafe

Fanjunduo Wei, Zhenheng Tang, Rongfei Zeng, Tongliang Liu, Chengqi Zhang, Xiaowen Chu +1

ICLR 2026poster

Low-Rank Adaptation (LoRA) benefits from its plug-and-play nature, enabling large language models (LLMs) to achieve significant performance gains at low cost, has driven the development of LoRA-sharing platforms. However, the jailbreak and backdoor concerns associated with LoRA-sharing platforms rem…

Cited by 0 Source ↗Scholar ↗

2025

A Similarity Paradigm Through Textual Regularization Without Forgetting

Fangming Cui, Jan Fong, Rongfei Zeng, Xinmei Tian, Jun Yu

AAAI 2025technical

Prompt learning has emerged as a promising method for adapting pre-trained visual-language models (VLMs) to a range of downstream tasks. While optimizing the context can be effective for improving performance on specific tasks, it can often lead to poor generalization performance on unseen classes o…

Cited by 0 Source ↗PDF ↗Scholar ↗