28 citations · 68 across the 20 of their papers we have counts for
7 papers · 1 filter
GLoCIM: Global-view Long Chain Interest Modeling for news recommendation
Zhen Yang, Wenhui Wang, Tao Qi +5
Accurately recommending candidate news articles to users has always been the core challenge of news recommendation system. News recommendations often require modeling of user inter…
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…
Current Status and Trends in Image Anti-Forensics Research: A Bibliometric Analysis
Yihong Lu, Jianyi Liu, Ru Zhang
Image anti-forensics is a critical topic in the field of image privacy and security research. With the increasing ease of manipulating or generating human faces in images, the pote…
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…
Pseudo-label Based Domain Adaptation for Zero-Shot Text Steganalysis
Yufei Luo, Zhen Yang, Ru Zhang +1
Currently, most methods for text steganalysis are based on deep neural networks (DNNs). However, in real-life scenarios, obtaining a sufficient amount of labeled stego-text for cor…
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…
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…