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• W2890886687 abstract "Most state-of-the-art detection methods against synonym substitution based steganography extract features based on statistical distortion. However, synonym substitution will cause not only statistical distortion but also semantic distortion. In this paper, we propose word embedding feature (WEF) to detect the semantic distortion. Furthermore, a fused feature called word embedding and statistical feature set (WESF) which consists of WEF and statistical feature based on word frequency is designed to improve detection performance. Experiments show that WESF can achieve lower detection error rates compared with prmethods." @default.
• W2890886687 created "2018-09-27" @default.
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• W2890886687 date "2018-01-01" @default.
• W2890886687 modified "2023-10-11" @default.
• W2890886687 title "Text Semantic Steganalysis Based on Word Embedding" @default.
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• W2890886687 doi "https://doi.org/10.1007/978-3-030-00015-8_42" @default.
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