A proactive deepfake detector that generates watermarks from 128-dim facial embeddings and validates images by comparing recovered vs re-mapped watermarks.
V oice-face homogeneity tells deep- fake
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach
A proactive deepfake detector that generates watermarks from 128-dim facial embeddings and validates images by comparing recovered vs re-mapped watermarks.