Deepfake Detection
Methods that detect synthetic or manipulated media (audio, images, video) used to impersonate people in identity verification and biometric systems.
Overview
Deepfake detection aims to identify AI-generated or heavily manipulated media intended to defeat identity verification (e.g., selfie checks) or to enable fraud via impersonation.
How it’s used in identity systems
- As a signal alongside PAD/liveness, device checks, and document verification.
- To flag suspicious submissions for step-up or manual review.
- To harden enrollment and re-verification, where synthetic media can create or take over accounts.
Common challenges
- Rapidly evolving generation methods and attack techniques.
- Domain shifts (lighting, cameras, compression) that can affect detector performance.