2 papers
cs.CR2025
EditMF: Drawing an Invisible Fingerprint for Your Large Language Models
Jiaxuan Wu, Yinghan Zhou, Wanli Peng +3
Training large language models (LLMs) is resource-intensive and expensive, making protecting intellectual property (IP) for LLMs crucial. Recently, embedding fingerprints into LLMs…
cs.CR2025
GTSD: Generative Text Steganography Based on Diffusion Model
Zhengxian Wu, Juan Wen, Yiming Xue +2
With the rapid development of deep learning, existing generative text steganography methods based on autoregressive models have achieved success. However, these autoregressive steg…