6 citations · 26 across the 24 of their papers we have counts for
26 papers
ReVR: Dual-Path Concept Reasoning for Multimodal Fake News Detection
Zhikai Tan, Yuzhou Yang, Qichao Ying +4
Vision-language models (VLMs) support multimodal fake news detection (FND) by producing explicit analyses. Recent methods further improve interpretability by organizing verificatio…
Grounding and Explaining Visual Evidence for AI-Generated Image Detection in Human-Centric Scenes
Kun Guo, Yuzhou Yang, Haoyue Wang +3
Rapid advances in image generation models call for interpretable AI-generated image detection methods that not only determine authenticity but also provide supporting visual eviden…
PROVE: Proof-guided Regime-aware Operator Verification for Hallucination Detection in Medical Visual Question Answering
Keyang Zhou, Siyi Li, Zhongnan Shi +3
In medical visual question answering (VQA), hallucinations of vision-language models (VLMs) may lead to confident but incorrect responses, raising the risk of diagnostic errors. Ex…
Self-Reflective Multi-modal Reasoning for Short-Video Fake News Detection
Pinjie Xu, Yuzhou Yang, Zhikai Tan +4
Recent fake news detection pipelines increasingly leverage large language models and vision-language models for reasoning-based analysis. However, several challenges remain open: i…
RoE-FND: Synergizing LLMs with Experiential Learning for Effective and Generalizable Evidence-Based Fake News Detection
Yuzhou Yang, Qichao Ying, Sheng Li +3
The proliferation of deceptive content in social networks necessitates robust Fake News Detection (FND) systems. Existing pipelines either train detectors on labeled data or levera…
MoFRR: Mixture of Diffusion Models for Face Retouching Restoration
Jiaxin Liu, Qichao Ying, Zhenxing Qian +4
The widespread use of face retouching on social media platforms raises concerns about the authenticity of face images. While existing methods focus on detecting face retouching, ho…
Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences
Yuzhou Yang, Yangming Zhou, Qichao Ying +2
Pioneer researches recognize evidences as crucial elements in fake news detection apart from patterns. Existing evidence-aware methods either require laborious pre-processing proce…
Fact-checking based fake news detection: a review
Yuzhou Yang, Yangming Zhou, Qichao Ying +3
This paper reviews and summarizes the research results on fact-based fake news from the perspectives of tasks and problems, algorithm strategies, and datasets. First, the paper sys…
PROMPT-IML: Image Manipulation Localization with Pre-trained Foundation Models Through Prompt Tuning
Xuntao Liu, Yuzhou Yang, Qichao Ying +3
Deceptive images can be shared in seconds with social networking services, posing substantial risks. Tampering traces, such as boundary artifacts and high-frequency information, ha…
From Covert Hiding to Visual Editing: Robust Generative Video Steganography
Xueying Mao, Xiaoxiao Hu, Wanli Peng +5
Traditional video steganography methods are based on modifying the covert space for embedding, whereas we propose an innovative approach that embeds secret message within semantic…
DRAW: Defending Camera-shooted RAW against Image Manipulation
Xiaoxiao Hu, Qichao Ying, Zhenxing Qian +2
RAW files are the initial measurement of scene radiance widely used in most cameras, and the ubiquitously-used RGB images are converted from RAW data through Image Signal Processin…
RetouchingFFHQ: A Large-scale Dataset for Fine-grained Face Retouching Detection
Qichao Ying, Jiaxin Liu, Sheng Li +3
The widespread use of face retouching filters on short-video platforms has raised concerns about the authenticity of digital appearances and the impact of deceptive advertising. To…
StyleStegan: Leak-free Style Transfer Based on Feature Steganography
Xiujian Liang, Bingshan Liu, Qichao Ying +2
In modern social networks, existing style transfer methods suffer from a serious content leakage issue, which hampers the ability to achieve serial and reversible stylization, ther…
Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion
Yangming Zhou, Yuzhou Yang, Qichao Ying +2
The easy sharing of multimedia content on social media has caused a rapid dissemination of fake news, which threatens society's stability and security. Therefore, fake news detecti…
Learning to Immunize Images for Tamper Localization and Self-Recovery
Qichao Ying, Hang Zhou, Zhenxing Qian +2
Digital images are vulnerable to nefarious tampering attacks such as content addition or removal that severely alter the original meaning. It is somehow like a person without prote…
Image Generation Network for Covert Transmission in Online Social Network
Zhengxin You, Qichao Ying, Sheng Li +2
Online social networks have stimulated communications over the Internet more than ever, making it possible for secret message transmission over such noisy channels. In this paper,…
Robust Watermarking for Video Forgery Detection with Improved Imperceptibility and Robustness
Yangming Zhou, Qichao Ying, Xiangyu Zhang +3
Videos are prone to tampering attacks that alter the meaning and deceive the audience. Previous video forgery detection schemes find tiny clues to locate the tampered areas. Howeve…
A DTCWT-SVD Based Video Watermarking resistant to frame rate conversion
Yifei Wang, Qichao Ying, Zhenxing Qian +2
Videos can be easily tampered, copied and redistributed by attackers for illegal and monetary usage. Such behaviors severely jeopardize the interest of content owners. Despite huge…
Bootstrapping Multi-view Representations for Fake News Detection
Qichao Ying, Xiaoxiao Hu, Yangming Zhou +3
Previous researches on multimedia fake news detection include a series of complex feature extraction and fusion networks to gather useful information from the news. However, how cr…
Image Protection for Robust Cropping Localization and Recovery
Qichao Ying, Hang Zhou, Xiaoxiao Hu +3
Existing image cropping detection schemes ignore that recovering the cropped-out contents can unveil the purpose of the behaved cropping attack. This paper presents \textbf{CLR}-Ne…
Multimodal Fake News Detection via CLIP-Guided Learning
Yangming Zhou, Qichao Ying, Zhenxing Qian +2
Multimodal fake news detection has attracted many research interests in social forensics. Many existing approaches introduce tailored attention mechanisms to guide the fusion of un…
Invertible Image Dataset Protection
Kejiang Chen, Xianhan Zeng, Qichao Ying +3
Deep learning has achieved enormous success in various industrial applications. Companies do not want their valuable data to be stolen by malicious employees to train pirated model…
From Image to Imuge: Immunized Image Generation
Qichao Ying, Zhenxing Qian, Hang Zhou +3
We introduce Imuge, an image tamper resilient generative scheme for image self-recovery. The traditional manner of concealing image content within the image are inflexible and frag…
Hiding Images into Images with Real-world Robustness
Qichao Ying, Hang Zhou, Xianhan Zeng +3
The existing image embedding networks are basically vulnerable to malicious attacks such as JPEG compression and noise adding, not applicable for real-world copyright protection ta…