Browse State-of-the-Art › Linguistic steganography
Linguistic steganography
11 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
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Most implemented papers archive 2025-07-28
11 shown of 11 papers with code (22 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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26 May 2025 1 repository listedAs large language models (LLMs) become integrated into sensitive workflows, concerns grow over their potential to leak confidential information.
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20 May 2025 1 repository listedGSDFuse employs a holistic approach, synergistically integrating hierarchical multi-modal feature engineering to capture diverse signals, strategic data augmentation to address sparsity, adaptive evidence fusion to…
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26 Mar 2024 1 repository listedSyncPool does not change the size of the candidate pool or the distribution of tokens and thus is applicable to provably secure language steganography methods.
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16 Mar 2024 1 repository listedGenerative linguistic steganography attempts to hide secret messages into covertext.
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28 Jan 2024 1 repository listedThen, this scheme uses the idea of the roulette wheel and takes the CPs of tokens as the main basis for allocating the roulette area (i.
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11 Aug 2023 1 repository listedFirstly, we propose a secure token-selection principle that the sum of selected tokens' probabilities is positively correlated to statistical imperceptibility.
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12 Nov 2022 1 repository listedPrevious studies on neural linguistic steganography, except Ueoka et al.
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3 Jun 2021 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)Generative linguistic steganography mainly utilized language models and applied steganographic sampling (stegosampling) to generate high-security steganographic text (stegotext).
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20 Apr 2021 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedWith advances in neural language models, the focus of linguistic steganography has shifted from edit-based approaches to generation-based ones.
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1 Oct 2020 1 repository listedLinguistic steganography studies how to hide secret messages in natural language cover texts.
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3 Sep 2019 1 repository listedWhereas traditional cryptography encrypts a secret message into an unintelligible form, steganography conceals that communication is taking place by encoding a secret message into a cover signal.
Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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