28 citations · 68 across the 20 of their papers we have counts for
21 papers
Flux-Guard: Facial Identity Protection using diffusion models
Jie Wang, Tao Wang, Ru Zhang +1
The widespread deployment of face recognition (FR) systems exposes personal images shared on social media and public platforms to identity linkage and privacy risks. Existing adver…
The Essence of Balance for Self-Improving Agents in Vision-and-Language Navigation
Zhen Liu, Yuhan Liu, Jinjun Wang +3
In vision-and-language navigation (VLN), self-improvement from policy-induced experience, using only standard VLN action supervision, critically depends on balancing behavioral div…
From Concept Erasure to Style Purification: Contrastive Eigenbases for Artist Style Protection
Tong Zhang, Ru Zhang, Jianyi Liu
Text-to-image diffusion models can reproduce specific artists visual styles at extremely low cost, raising copyright and deployment safety concerns about unauthorized style mimicry…
SELECT: Semantic Erasure Boundary Construction with Sibling Exclusive Counterfactuals
Tong Zhang, Ru Zhang, Jianyi Liu +2
Concept erasure aims to suppress undesirable concepts in text-to-image diffusion models while preserving their generative capabilities. Existing methods often redirect target conce…
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
Yihao Wang, Pengxiang Ding, Lingxiao Li +13
Vision-Language-Action (VLA) models typically bridge the gap between perceptual and action spaces by pre-training a large-scale Vision-Language Model (VLM) on robotic data. While t…
CLIProv: A Contrastive Log-to-Intelligence Multimodal Approach for Threat Detection and Provenance Analysis
Jingwen Li, Ru Zhang, Jianyi Liu +1
With the increasing complexity of cyberattacks, the proactive and forward-looking nature of threat intelligence has become more crucial for threat detection and provenance analysis…
Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems
Yihao Wang, Lingxiao Li, Yifan Tang +2
Intelligent transportation systems (ITS) use advanced technologies such as artificial intelligence to significantly improve traffic flow management efficiency, and promote the inte…
U-GIFT: Uncertainty-Guided Firewall for Toxic Speech in Few-Shot Scenario
Jiaxin Song, Xinyu Wang, Yihao Wang +4
With the widespread use of social media, user-generated content has surged on online platforms. When such content includes hateful, abusive, offensive, or cyberbullying behavior, i…
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…
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…
LogKernel A Threat Hunting Approach Based on Behaviour Provenance Graph and Graph Kernel Clustering
Jiawei Li, Ru Zhang, Jianyi Liu +1
Cyber threat hunting is a proactive search process for hidden threats in the organization's information system. It is a crucial component of active defense against advanced persist…
Construction of Two Statistical Anomaly Features for Small-Sample APT Attack Traffic Classification
Ru Zhang, Wenxin Sun, Jianyi Liu +3
Advanced Persistent Threat (APT) attack, also known as directed threat attack, refers to the continuous and effective attack activities carried out by an organization on a specific…
Constructing feature variation coefficients to evaluate feature learning capabilities of convolutional layers in steganographic detection algorithms of spatial domain
Ru Zhang, Sheng Zou, Jianyi Liu +2
Traditional steganalysis methods generally include two steps: feature extraction and classification.A variety of steganalysis algorithms based on CNN (Convolutional Neural Network)…
Efficient feature learning and multi-size image steganalysis based on CNN
Ru Zhang, Feng Zhu, Jianyi Liu +1
For steganalysis, many studies showed that convolutional neural network has better performances than the two-part structure of traditional machine learning methods. However, there…
Invisible Steganography via Generative Adversarial Networks
Ru Zhang, Shiqi Dong, Jianyi Liu
Nowadays, there are plenty of works introducing convolutional neural networks (CNNs) to the steganalysis and exceeding conventional steganalysis algorithms. These works have shown…