Deepfake detectors act as alpha blending searchers; training solely on self-blended real images yields top cross-dataset generalization on 15 datasets without using synthetic deepfakes.
Poisson image editing
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.CV 2verdicts
UNVERDICTED 2roles
method 1polarities
use method 1representative citing papers
UP-GAN uses a GAN to obscure faces while preserving utility attributes like age, gender, pose, and expression better than blurring or pixelation.
citing papers explorer
-
The Alpha Blending Hypothesis: Compositing Shortcut in Deepfake Detection
Deepfake detectors act as alpha blending searchers; training solely on self-blended real images yields top cross-dataset generalization on 15 datasets without using synthetic deepfakes.
-
A Utility-Preserving GAN for Face Obscuration
UP-GAN uses a GAN to obscure faces while preserving utility attributes like age, gender, pose, and expression better than blurring or pixelation.