16 citations · 19 across the 19 of their papers we have counts for
16 papers · 1 filter
CIEC: Coupling Implicit and Explicit Cues for Multimodal Weakly Supervised Manipulation Localization
Xinquan Yu, Wei Lu, Xiangyang Luo +1
To mitigate the threat of misinformation, multimodal manipulation localization has garnered growing attention. Consider that current methods rely on costly and time-consuming fine-…
MARE: Multimodal Alignment and Reinforcement for Explainable Deepfake Detection via Vision-Language Models
Wenbo Xu, Wei Lu, Xiangyang Luo +1
Deepfake detection is a widely researched topic that is crucial for combating the spread of malicious content, with existing methods mainly modeling the problem as classification o…
Safeguarding Facial Identity against Diffusion-based Face Swapping via Cascading Pathway Disruption
Liqin Wang, Qianyue Hu, Wei Lu +1
The rapid evolution of diffusion models has democratized face swapping but also raises concerns about privacy and identity security. Existing proactive defenses, often adapted from…
Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization
Midou Guo, Qilin Yin, Wei Lu +1
Modern deepfakes have evolved into localized and intermittent manipulations that require fine-grained temporal localization to mitigate severe digital security risks. The prohibiti…
Fine-grained Multiple Supervisory Network for Multi-modal Manipulation Detecting and Grounding
Xinquan Yu, Wei Lu, Xiangyang Luo
The task of Detecting and Grounding Multi-Modal Media Manipulation (DGM) is a branch of misinformation detection. Unlike traditional binary classification, it includes complex…
Weakly Supervised Multimodal Temporal Forgery Localization via Multitask Learning
Wenbo Xu, Wei Lu, Xiangyang Luo
The spread of Deepfake videos has caused a trust crisis and impaired social stability. Although numerous approaches have been proposed to address the challenges of Deepfake detecti…