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cs.CL2025
ImF: Implicit Fingerprint for Large Language Models
Jiaxuan Wu, Wanli Peng, Hang Fu +2
Training large language models (LLMs) is resource-intensive and expensive, making protecting intellectual property (IP) for LLMs crucial. Recently, embedding fingerprints into LLMs…
cs.CL2024★ 17 cited
Generative Text Steganography with Large Language Model
Jiaxuan Wu, Zhengxian Wu, Yiming Xue +2
Recent advances in large language models (LLMs) have blurred the boundary of high-quality text generation between humans and machines, which is favorable for generative text stegan…