pith. sign in

Deepfake media forensics: State of the art and challenges ahead.arXiv preprint arXiv:2408.00388, 2024

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it

fields

cs.CV 1

years

2025 1

verdicts

UNVERDICTED 1

representative citing papers

SAGA: Source Attribution of Generative AI Videos

cs.CV · 2025-11-16 · unverdicted · novelty 6.0

SAGA is a multi-granular source attribution system for generative AI videos that identifies the exact generator with state-of-the-art accuracy using only 0.5% labeled data per class.

citing papers explorer

Showing 1 of 1 citing paper.

  • SAGA: Source Attribution of Generative AI Videos cs.CV · 2025-11-16 · unverdicted · none · ref 2

    SAGA is a multi-granular source attribution system for generative AI videos that identifies the exact generator with state-of-the-art accuracy using only 0.5% labeled data per class.