… texts in social network scenarios. … social network scenarios, which contains texts and their
relation. And we propose an effective linguistic steganalysis framework integrating linguistic …

… linguistic steganalysis model specifically designed for social … -depth steganalysis approaches
tailored to real social network … to explore steganalysis toward real social network scenarios. …

… We trained the four linguistic steganalysis models on various numbers of labeled datasets
and used 4,000 labeled samples for testing. Further details regarding the experimental setup …

… coherence, while also extending the steganographic capacity and improving the resistance
to steganalysis. We believe it can be well applied in the social network environment. …

… Recent advances in linguistic steganalysis have … feature extractors to achieve higher
steganalysis effects. However, … pose two methods for efficient linguistic steganalysis. One is to pre-…

… practicality in social network. In order to design an effective and real-time text steganalysis
method, in … Xia, “Linguistic steganalysis using the features derived from synonym frequency,” …

… linguistic steganography. These linguistic steganalysis methods using delicate handcrafted
features have worked well for traditional linguistic steganography. However, in recent years, …

… rapid development of online social networking services. It … steganalysis algorithms aim at
classifying a given signal as cover or stego. In this chapter, we will model linguistic steganalysis …

… In recent years, linguistic steganalysis have mainly utilized deep learning techniques and …
of linguistic steganalysis in reality. In this paper, we propose a novel linguistic steganalysis …

… Most existing text steganalysis methods are based on traditional neural network to extract
and analyze the semantic features of automatically generated steganographic text. However, …