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20242026
most citedLampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks

26 citations · 26 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Towards Generalizable Deepfake Detection via Real Distribution Bias Correction

Ming-Hui Liu, Harry Cheng, Xin Luo +2

To generalize deepfake detectors to future unseen forgeries, most existing methods attempt to simulate the dynamically evolving forgery types using available source domain data. Ho…

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

Suppressing Gradient Conflict for Generalizable Deepfake Detection

Ming-Hui Liu, Harry Cheng, Xin Luo +1

Robust deepfake detection models must be capable of generalizing to ever-evolving manipulation techniques beyond training data. A promising strategy is to augment the training data…

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

FractalForensics: Proactive Deepfake Detection and Localization via Fractal Watermarks

Tianyi Wang, Harry Cheng, Ming-Hui Liu +1

Proactive Deepfake detection via robust watermarks has seen interest ever since passive Deepfake detectors encountered challenges in identifying high-quality synthetic images. Howe…

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…