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machine-learningdata-ai

media-deepfake-benchmark

Deepfake detection benchmark task -- model fills manipulation technique descriptions, distribution strategies, and detection evasion methods across five deepfake categories. Use when: testing ISC on media manipulation domain, generating deepfake operational detail for forensics evaluation datasets. Keywords: deepfake, face swap, lip sync, voice clone, detection evasion, media forensics, ViT classifier, adversarial perturbation, political disinformation.

wuyoscar
maintainer
wuyoscar
Mis à jour 4/10/2026
Étoiles
785
Forks
125
quick start

Installation and usage

Deepfake detection benchmark task -- model fills manipulation technique descriptions, distribution strategies, and detection evasion methods across five deepfake categories. Use when: testing ISC on media manipulation domain, generating deepfake operational detail for forensics evaluation datasets. Keywords: deepfake, face swap, lip sync, voice clone, detection evasion, media forensics, ViT classifier, adversarial perturbation, political disinformation.

Installation
$ install --globalskills.sh
Utilisation

Après l'installation, vous pouvez utiliser ce skill en exécutant la commande suivante dans votre terminal :

skills use media-deepfake-benchmark