gilikn/FakeOut

Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection

34
/ 100
Emerging

This tool helps content moderators, forensic analysts, and social media platforms automatically identify deepfake videos. It takes suspicious video files as input and determines if they contain manipulated visual or audio elements, providing a clear indication of whether the video is a deepfake. The primary users are professionals responsible for maintaining content authenticity and trust across digital platforms.

No commits in the last 6 months.

Use this if you need to reliably detect advanced video deepfakes, especially those with subtle manipulations, to protect your platform's integrity or support investigations.

Not ideal if you are looking for a simple, out-of-the-box solution without any technical setup, as it requires arranging datasets and running scripts.

deepfake-detection content-moderation video-forensics digital-security media-authenticity
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

32

Forks

4

Language

Python

License

Apache-2.0

Last pushed

Apr 18, 2024

Commits (30d)

0

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