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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
更新于 4/10/2026
星标
785
分支
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.

安装
$ install --globalskills.sh
使用

安装后,您可以通过在终端运行以下命令来使用此技能:

skills use media-deepfake-benchmark