Fake Video Detection
A playbook for building a pipeline to detect AI-generated videos and deepfakes using multimodal analysis.
Core Implementation
Recipe
What: `fake-video-detector.yaml` that orchestrates a series of fake video detection models using the Mixpeek platform.
Why: Provides a single command to run a multi-layered detection strategy, saving significant integration time.
GitHub Repo
What: Fake video detection webapp with full detection pipeline.
Why: Allows security teams to self-host the pipeline, customize detection thresholds, and integrate with their own systems.
Learning Resources
Tutorial / Blog Post
What: Technical blog post with code and analysis.
Why: Explains the nuances of different detection vectors (visual, audio, motion) for technical audiences.
Jupyter Notebook
What: The FakeCheck Colab notebook walking through the entire detection pipeline.
Why: Allows researchers to dive deep into the methodology and reproduce the results.
Proof-Points
Standalone MXP App
What: See the 'FakeCheck' app in action.
Why: Allows decision-makers to see an end-to-end application for media verification and trust scoring.
Industry Page
What: Fight disinformation campaigns and maintain content integrity.
Why: As a security team, you need to be able to detect and respond to deepfakes and AI-generated videos.