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Towards Near-imperceptible Steganographic Text

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arxiv 1907.06679 v2 pith:GVRY4PLS submitted 2019-07-15 cs.CL cs.CRcs.LG

classification cs.CLcs.CRcs.LG
keywords assumptionsnear-imperceptiblesteganographictextalgorithmanalyzebehaviorscalled
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We show that the imperceptibility of several existing linguistic steganographic systems (Fang et al., 2017; Yang et al., 2018) relies on implicit assumptions on statistical behaviors of fluent text. We formally analyze them and empirically evaluate these assumptions. Furthermore, based on these observations, we propose an encoding algorithm called patient-Huffman with improved near-imperceptible guarantees.

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  1. Semantic Steganography: A Framework for Robust and High-Capacity Information Hiding using Large Language Models

    cs.CR 2024-12 reject novelty 6.0 of 10

    A new LLM-based steganography framework encodes secret bits in the choice of entities mentioned in generated text, claiming higher capacity and robustness, but its indistinguishability claim is not supported and is co...

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