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Generative Text Steganography with Large Language Model
April 17, 2024, 4:46 a.m. | Jiaxuan Wu, Zhengxian Wu, Yiming Xue, Juan Wen, Wanli Peng
cs.CL updates on arXiv.org arxiv.org
Abstract: 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 steganography. While, current advanced steganographic mapping is not suitable for LLMs since most users are restricted to accessing only the black-box API or user interface of the LLMs, thereby lacking access to the training vocabulary and its sampling probabilities. In this paper, we explore a black-box generative text steganographic method …
abstract advanced advances api arxiv box cs.cl current generative humans language language model language models large language large language model large language models llms machines mapping quality steganography text text generation type
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