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

26 citations · 35 across the 13 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.AI2025

RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild

Danni Xu, Shaojing Fan, Harry Cheng +1

Multimodal misinformation increasingly leverages visual persuasion, where repurposed or manipulated images strengthen misleading text. We introduce RW-Post, a post-aligned text--im…

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.LG2025

Fair Deepfake Detectors Can Generalize

Harry Cheng, Ming-Hui Liu, Yangyang Guo +3

Deepfake detection models face two critical challenges: generalization to unseen manipulations and demographic fairness among population groups. However, existing approaches often…

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★ 7 cited

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…