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20232026
most citedLampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks

26 citations · 26 across the 7 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

MFVLR: Multi-domain Fine-grained Vision-Language Reconstruction for Generalizable Diffusion Face Forgery Detection and Localization

Yaning Zhang, Tianyi Wang, Zan Gao +3

The swift advancement in photo-realistic face generation technology has sparked considerable concerns across society and academia, emphasizing the requirement of generalizable face…

cs.CV2026

Word-Anchored Temporal Forgery Localization

Tianyi Wang, Xi Shao, Harry Cheng +2

Current temporal forgery localization (TFL) approaches typically rely on temporal boundary regression or continuous frame-level anomaly detection paradigms to derive candidate forg…

cs.CV2025

A Spatial-Frequency Aware Multi-Scale Fusion Network for Real-Time Deepfake Detection

Libo Lv, Tianyi Wang, Mengxiao Huang +2

With the rapid advancement of real-time deepfake generation techniques, forged content is becoming increasingly realistic and widespread across applications like video conferencing…

cs.CV2025

Learning Real Facial Concepts for Independent Deepfake Detection

Ming-Hui Liu, Harry Cheng, Tianyi Wang +2

Deepfake detection models often struggle with generalization to unseen datasets, manifesting as misclassifying real instances as fake in target domains. This is primarily due to an…

cs.CV2025

NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping

Tianyi Wang, Harry Cheng, Xiao Zhang +1

Suffering from performance bottlenecks in passively detecting high-quality Deepfake images due to the advancement of generative models, proactive perturbations offer a promising ap…

cs.CV202426 cited

LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks

Tianyi Wang, Mengxiao Huang, Harry Cheng +2

Deepfake facial manipulation has garnered significant public attention due to its impacts on enhancing human experiences and posing privacy threats. Despite numerous passive algori…