19 papers
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…
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…
Lossless Copyright Protection via Intrinsic Model Fingerprinting
Lingxiao Chen, Liqin Wang, Wei Lu +1
The exceptional performance of diffusion models establishes them as high-value intellectual property but exposes them to unauthorized replication. Existing protection methods eithe…
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…
VoiceCloak: A Multi-Dimensional Defense Framework against Unauthorized Diffusion-based Voice Cloning
Qianyue Hu, Junyan Wu, Wei Lu +1
Diffusion Models (DMs) have achieved remarkable success in realistic voice cloning (VC), while they also increase the risk of malicious misuse. Existing proactive defenses designed…