5 papers · 1 filter
Dynamically Allocated Interval-Based Generative Linguistic Steganography with Roulette Wheel
Yihao Wang, Ruiqi Song, Lingxiao Li +2
Existing linguistic steganography schemes often overlook the conditional probability (CP) of tokens in the candidate pool, allocating the one coding to all tokens, which results in…
State-of-the-art Advances of Deep-learning Linguistic Steganalysis Research
Yihao Wang, Ru Zhang, Yifan Tang +1
With the evolution of generative linguistic steganography techniques, conventional steganalysis falls short in robustly quantifying the alterations induced by steganography, thereb…
Linguistic Steganalysis via LLMs: Two Modes for Efficient Detection of Strongly Concealed Stego
Yifan Tang, Yihao Wang, Ru Zhang +1
To detect stego (steganographic text) in complex scenarios, linguistic steganalysis (LS) with various motivations has been proposed and achieved excellent performance. However, wit…
An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration
Yihao Li, Ru Zhang, Jianyi Liu
While Large Language Models (LLMs) demonstrate exceptional performance in a multitude of Natural Language Processing (NLP) tasks, they encounter challenges in practical application…
UP4LS: User Profile Constructed by Multiple Attributes for Enhancing Linguistic Steganalysis
Yihao Wang, Ruiqi Song, Lingxiao Li +3
Linguistic steganalysis (LS) tasks aim to detect whether a text contains secret information. Existing LS methods focus on the deep-learning model design and they achieve excellent…