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pro vyhledávání: '"linguistic steganography"'
Autor:
Pang, Kaiyi
Linguistic steganography embeds secret information in seemingly innocent texts, safeguarding privacy in surveillance environments. Generative linguistic steganography leverages the probability distribution of language models (LMs) and applies stegano
Externí odkaz:
http://arxiv.org/abs/2412.19652
Recent research in provably secure neural linguistic steganography has overlooked a crucial aspect: the sender must detokenize stegotexts to avoid raising suspicion from the eavesdropper. The segmentation ambiguity problem, which arises when using la
Externí odkaz:
http://arxiv.org/abs/2403.17524
Generative linguistic steganography attempts to hide secret messages into covertext. Previous studies have generally focused on the statistical differences between the covertext and stegotext, however, ill-formed stegotext can readily be identified b
Externí odkaz:
http://arxiv.org/abs/2403.10856
Autor:
Raj-Sankar, Leela, Rajagopalan, S. Raj
Covert communication (also known as steganography) is the practice of concealing a secret inside an innocuous-looking public object (cover) so that the modified public object (covert code) makes sense to everyone but only someone who knows the code c
Externí odkaz:
http://arxiv.org/abs/2312.16840
Linguistic steganography (LS) tasks aim to generate steganographic text (stego) based on secret. Only authorized receivers can perceive and extract secrets, thereby protecting privacy. However, existing generative LS schemes often do not consider the
Externí odkaz:
http://arxiv.org/abs/2401.15656
Akademický článek
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Nowadays, social media has become the preferred communication platform for web users but brought security threats. Linguistic steganography hides secret data into text and sends it to the intended recipient to realize covert communication. Compared t
Externí odkaz:
http://arxiv.org/abs/2303.05830
Autor:
Andrey V. Dzhunkovskiy
Publikováno v:
Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriâ 2. Âzykoznanie, Vol 23, Iss 3, Pp 124-133 (2024)
The development of modern linguistic steganography and steganalysis technologies creates new opportunities for use cases to be discovered. Our previous research points to high viability of methods such as trigger-container implementation for the tr
Externí odkaz:
https://doaj.org/article/cb48af3fcc99467991aeeb94ba6f683f
Autor:
Nozaki, Jumon, Murawaki, Yugo
Previous studies on neural linguistic steganography, except Ueoka et al. (2021), overlook the fact that the sender must detokenize cover texts to avoid arousing the eavesdropper's suspicion. In this paper, we demonstrate that segmentation ambiguity i
Externí odkaz:
http://arxiv.org/abs/2211.06662
Autor:
Lin, YiQing1 (AUTHOR) tnhlwbvzehpx129@yahoo.com, Wang, ZhongHua2 (AUTHOR)
Publikováno v:
PLoS ONE. 1/2/2024, Vol. 19 Issue 1, p1-23. 23p.