Aggregating Local and Global Text Features for Linguistic Steganalysis
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DOI: 10.1109/lsp.2022.3185946
Abstract: Existing linguistic steganalysis methods share a similar conceptual learning paradigm: namely, learning specific features derived from a word and its surrounding words, then passing them to the classifier. However, these features are unable to deal… read more here.
Keywords: text features; aggregating local; local global; steganalysis ... See more keywords