6 citations · 8 across the 28 of their papers we have counts for
28 papers
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…
OrchBench: Evaluating Multi-Agent Orchestration Plans in Isolation via Deterministic Simulation
Zhenzhen Ren, Jiyan He, Xinpeng Zhang +5
Complex tasks often decompose into parallelizable yet interdependent subtasks, making orchestration critical to the performance of multi-agent systems (MAS). Existing evaluations t…
Only Train Once: Uncertainty-Aware One-Class Learning for Face Authenticity Detection
Qingchao Jiang, Zhenxuan Hou, Zhiying Zhu +3
The rapid evolution of generative paradigms has enabled the creation of highly realistic imagery, which escalates the risks of identity fraud and the dissemination of disinformatio…
Evidence-based Decision Modeling for Synthetic Face Detection with Uncertainty-driven Active Learning
Qingchao Jiang, Zhenxuan Hou, Zhiying Zhu +3
With the rapid development of deep generative models, forged facial images are massively exploited for illegal activities. Although existing synthetic face detection methods have a…
GTM: Simulating the World of Tools for AI Agents
Zhenzhen Ren, Xinpeng Zhang, Zhenxing Qian +4
The integration of external tools is pivotal for empowering Large Language Model (LLM) agents with real-world capabilities. However, training these agents through direct, continuou…
Self-Supervised AI-Generated Image Detection: A Camera Metadata Perspective
Nan Zhong, Mian Zou, Yiran Xu +4
The proliferation of AI-generated imagery poses escalating challenges for multimedia forensics, yet many existing detectors depend on assumptions about the internals of specific ge…
SimuFreeMark: A Noise-Simulation-Free Robust Watermarking Against Image Editing
Yichao Tang, Mingyang Li, Di Miao +3
The advancement of artificial intelligence generated content (AIGC) has created a pressing need for robust image watermarking that can withstand both conventional signal processing…
SyncGuard: Robust Audio Watermarking Capable of Countering Desynchronization Attacks
Zhenliang Gan, Xiaoxiao Hu, Sheng Li +2
Audio watermarking has been widely applied in copyright protection and source tracing. However, due to the inherent characteristics of audio signals, watermark localization and res…
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…
RoE-FND: A Case-Based Reasoning Approach with Dual Verification for Fake News Detection via LLMs
Yuzhou Yang, Yangming Zhou, Zhiying Zhu +3
The proliferation of deceptive content online necessitates robust Fake News Detection (FND) systems. While evidence-based approaches leverage external knowledge to verify claims, e…
CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language Models
Zhenzhen Ren, GuoBiao Li, Sheng Li +2
Despite providing superior performance, open-source large language models (LLMs) are vulnerable to abusive usage. To address this issue, recent works propose LLM fingerprinting met…
Adversarial Shallow Watermarking
Guobiao Li, Lei Tan, Yuliang Xue +4
Recent advances in digital watermarking make use of deep neural networks for message embedding and extraction. They typically follow the ``encoder-noise layer-decoder''-based archi…
GenPTW: Latent Image Watermarking for Provenance Tracing and Tamper Localization
Zhenliang Gan, Chunya Liu, Yichao Tang +4
The proliferation of generative image models has revolutionized AIGC creation while amplifying concerns over content provenance and manipulation forensics. Existing methods are typ…
An Exceptional Dataset For Rare Pancreatic Tumor Segmentation
Wenqi Li, Yingli Chen, Keyang Zhou +6
Pancreatic NEuroendocrine Tumors (pNETs) are very rare endocrine neoplasms that account for less than 5% of all pancreatic malignancies, with an incidence of only 1-1.5 cases per 1…
Exploring Depth Information for Detecting Manipulated Face Videos
Haoyue Wang, Sheng Li, Ji He +3
Face manipulation detection has been receiving a lot of attention for the reliability and security of the face images/videos. Recent studies focus on using auxiliary information or…
ScreenMark: Watermarking Arbitrary Visual Content on Screen
Xiujian Liang, Gaozhi Liu, Yichao Si +2
Digital watermarking has shown its effectiveness in protecting multimedia content. However, existing watermarking is predominantly tailored for specific media types, rendering them…
Revocable Backdoor for Deep Model Trading
Yiran Xu, Nan Zhong, Zhenxing Qian +1
Deep models are being applied in numerous fields and have become a new important digital product. Meanwhile, previous studies have shown that deep models are vulnerable to backdoor…
Are handcrafted filters helpful for attributing AI-generated images?
Jialiang Li, Haoyue Wang, Sheng Li +3
Recently, a vast number of image generation models have been proposed, which raises concerns regarding the misuse of these artificial intelligence (AI) techniques for generating fa…
Cover-separable Fixed Neural Network Steganography via Deep Generative Models
Guobiao Li, Sheng Li, Zhenxing Qian +1
Image steganography is the process of hiding secret data in a cover image by subtle perturbation. Recent studies show that it is feasible to use a fixed neural network for data emb…
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…
Online Prompt Pricing based on Combinatorial Multi-Armed Bandit and Hierarchical Stackelberg Game
Meiling Li, Hongrun Ren, Haixu Xiong +2
Generation models have shown promising performance in various tasks, making trading around machine learning models possible. In this paper, we aim at a novel prompt trading scenari…
Regeneration Based Training-free Attribution of Fake Images Generated by Text-to-Image Generative Models
Meiling Li, Zhenxing Qian, Xinpeng Zhang
Text-to-image generative models have recently garnered significant attention due to their ability to generate images based on prompt descriptions. While these models have shown pro…
Purified and Unified Steganographic Network
Guobiao Li, Sheng Li, Zicong Luo +2
Steganography is the art of hiding secret data into the cover media for covert communication. In recent years, more and more deep neural network (DNN)-based steganographic schemes…
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…