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20242026
most citedCoarse-to-Fine Proposal Refinement Framework for Audio Temporal Forgery Detection and Localization

16 citations · 20 across the 29 of their papers we have counts for

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Showing 2026 · cs.CVShow all

8 papers · 2 filters

cs.CV2026

HumanForge: A Human-Centric Deepfake Video Benchmark with Multi-Agent Forgery Rationales

Wenbo Xu, Zhimin Chen, Xiaojie Liang +3

Rapid advancements in video diffusion models and temporal editing tools have enabled the generation of highly realistic human-centric videos, presenting unprecedented challenges to…

cs.CV2026

NullEdit: Stealthy Image Protection via VLM Condition Redirection

Weiyao Huang, Liqin Wang, Ziqi Sheng +1

Modern image editors combine vision-language models (VLMs) with diffusion transformer backbones to modify a single reference image according to instructions without fine-tuning. Th…

cs.CV2026

I2VShield: An Efficient Proactive Defense Framework against DiT-based Image-to-Video Models

Yimao Guo, Zuomin Qu, Wei Lu

The rapid advancement of video generation models has led to the increasing misuse of image-to-video (I2V) models. Although substantial progress has been made in detecting AI-genera…

cs.CV2026

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-…

cs.CV2026

Fake-HR1: Rethinking Reasoning of Vision Language Model for Synthetic Image Detection

Changjiang Jiang, Xinkuan Sha, Fengchang Yu +5

Recent studies have demonstrated that incorporating Chain-of-Thought (CoT) reasoning into the detection process can enhance a model's ability to detect synthetic images. However, e…

cs.CV2026★ 1 cited

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…

cs.CV2026

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…

cs.CV2026

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…