most citedTowards Real-Time Fake News Detection under Evidence Scarcity

1 citations · 1 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CR2026

Confundo: Learning to Generate Robust Poison for Practical RAG Systems

Haoyang Hu, Zhejun Jiang, Yueming Lyu +3

Retrieval-augmented generation (RAG) is increasingly deployed in real-world applications, where its reference-grounded design makes outputs appear trustworthy. This trust has spurr…

cs.CV2026

Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts

Songping Wang, Qinglong Liu, Yueming Lyu +3

Mixture-of-Experts (MoE) has demonstrated strong performance in video understanding tasks, yet its adversarial robustness remains underexplored. Existing attack methods often treat…

cs.CV2025

RunawayEvil: Jailbreaking the Image-to-Video Generative Models

Songping Wang, Rufan Qian, Yueming Lyu +5

Image-to-Video (I2V) generation synthesizes dynamic visual content from image and text inputs, providing significant creative control. However, the security of such multimodal syst…

cs.AI2025

SafeRBench: Dissecting the Reasoning Safety of Large Language Models

Xin Gao, Shaohan Yu, Zerui Chen +8

Large Reasoning Models (LRMs) have significantly improved problem-solving through explicit Chain-of-Thought (CoT) reasoning. However, this capability creates a Safety-Helpfulness P…

cs.CV2025

GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection

Xin Gao, Jiyao Liu, Guanghao Li +8

Recent advancements have explored text-to-image diffusion models for synthesizing out-of-distribution (OOD) samples, substantially enhancing the performance of OOD detection. Howev…

cs.CL20251 cited

Towards Real-Time Fake News Detection under Evidence Scarcity

Guangyu Wei, Ke Han, Yueming Lyu +4

Fake news detection becomes particularly challenging in real-time scenarios, where emerging events often lack sufficient supporting evidence. Existing approaches often rely heavily…