Hugging Face Trending Papers
Forensic Reserve: Eliciting Latent Knowledge for Image Forgery Detection
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arXiv Computer Vision
1d ago
Forensic Reserve: Eliciting Latent Knowledge for Image Forgery Detection
arXiv:2610.08639v1 Announce Type: new Abstract: As generated images become increasingly realistic, reliable forgery detection is essential for maintaining trust in visual information. However, existi...
Hugging Face Trending Papers
Aug 4
V-FIND: Revealing the Intrinsic Forgery Knowledge Encoded in Video Forgery Detectors
As generated videos become increasingly realistic, reliable video forgery detection is increasingly important. Existing studies typically optimize and use video forgery detectors as black boxes, while the latent forgery-discriminative knowledge inside them remains largely unexplored.
arXiv Computer Vision
Aug 25
Primitive-Driven Compositional Forensic Visual Prompting for Open-World Face Anti-Spoofing
arXiv:2608.17351v2 Announce Type: replace Abstract: Open-world face anti-spoofing must address both covariate and semantic shifts: source and target domains differ in imaging conditions, while target...
arXiv AI
Aug 5
V-FIND: Revealing the Intrinsic Forgery Knowledge Encoded in Video Forgery Detectors
arXiv:2608. 03008v1 Announce Type: cross Abstract: As generated videos become increasingly realistic, reliable video forgery detection is increasingly important.
arXiv AI
Oct 1
Forensic-Aware Continual Adaptation for Image Forgery Localization
arXiv:2609.38251v1 Announce Type: cross Abstract: The rapid evolution of image manipulation techniques has raised growing public security concerns. Existing Image Forgery Localization (IFL) methods c...
arXiv AI
Sep 18
FORGE: Forensic Reasoning with Grounded Evidence
FORGE is a forensic deepfake analysis system that provides region‑grounded natural language explanations for image manipulations. It addresses the inductive bias mismatch of multimodal large language models by adding a Vision‑Only Model trained on dense patch prediction, allowing the language model to interleave tokens with preserved spatial correspondence. Across face‑manipulated and fully synthetic content, FORGE delivers fine‑grained attribute queries and outperforms in‑domain baselines, with region‑specific evaluation and human studies confirming explanation faithfulness.