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Xuekai Chen

2 accepted papers

2025

KIKE: Linguistic Steganalysis Based on Knowledge Infusion and Knowledge Encoding

ICASSP 2025accepted

Efficient detection of steganographic text in public networks is critical for maintaining cyberspace security. Current text steganalysis algorithms focus on improving feature extraction models but face challenges with fragmented network texts in real-world environments, limiting their practical use.…

Cited by 0SourceScholar
2025

STLC-KG:A Social Text Steganalysis Method Combining Large-Scale Language Models and Common-Sense Knowledge Graphs

AAAI 2025technical

Language steganography in social networks primarily focuses on embedding secret information into social media text efficiently to achieve covert communication. The misuse of such techniques could pose significant potential threats to public cyberspace, such as the spread of malicious code, commands,…