May 16, 2024, 4:12 a.m. | Minhao Bai. Jinshuai Yang, Kaiyi Pang, Huili Wang, Yongfeng Huang

cs.CR updates on

arXiv:2405.09090v1 Announce Type: new
Abstract: Linguistic steganography provides convenient implementation to hide messages, particularly with the emergence of AI generation technology. The potential abuse of this technology raises security concerns within societies, calling for powerful linguistic steganalysis to detect carrier containing steganographic messages. Existing methods are limited to finding distribution differences between steganographic texts and normal texts from the aspect of symbolic statistics. However, the distribution differences of both kinds of texts are hard to build precisely, which heavily hurts …

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