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- W4376852511 abstract "With the popularity of the internet and the development of network services, Steganography based on speech stream has become a research hotspot in information hiding. To improve the detection performance of steganalysis of multiple steganography methods, in this paper, we proposed the Global-Local Representations Network (GLRN), which consists of a Global Correlation Extraction (GCE) module and a Local Correlation Enhancement (LCE) module. Firstly, considering the inter-class differences of different coding elements, the GCE module is used to capture the global correlation of different coding elements by using multi-channel modeling. Then, we realize that the process of global correlation extraction suffers from the loss of detailed information, so the LCE module is used to capture local correlations to complement the global features. The experiments show that the GLRN achieves the start-of-art detection performance." @default.
- W4376852511 created "2023-05-18" @default.
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- W4376852511 date "2022-09-23" @default.
- W4376852511 modified "2023-10-18" @default.
- W4376852511 title "A Novel Global-Local Representations Network for Speech Steganalysis" @default.
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- W4376852511 doi "https://doi.org/10.1145/3573942.3574196" @default.
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