Steinebach, MartinMartinSteinebach2024-08-052024-08-052024https://publica.fraunhofer.de/handle/publica/47277210.1145/3664476.3670930Natural language steganography as well as natural language watermarking have been challenging because of the complexity and lack of noise in natural language. But with the advent of LLMs like ChatGPT, controlled synthesis of written language has become available. In this work, we show how ChatGPT can be utilized to generate synthetic texts of a given topic that act as stego covers for hidden messages.enconference paper