Out-of-Distribution (OOD) Failure
Definition
The drop in a classifier's accuracy when test samples come from a different statistical distribution than the training data. AI-generated image detectors suffer OOD failure when a novel generator family not seen during training is encountered.
Related terms
- C2PA
- Coalition for Content Provenance and Authenticity. A cross-industry group that has published an open technical specification for embedding cryptographically signed provenance manifests...
- Content Credentials
- Adobe's brand name for C2PA-compliant provenance manifests. A Content Credentials badge on an image indicates that a signed, auditable creation history is...
- GAN Fingerprint
- A model-specific periodic pattern embedded in GAN-generated images, detectable by averaging outputs and subtracting a reference. Analogous to photo-response non-uniformity (PRNU) in...
- Invisible Watermark
- A signal embedded in an image or audio file that is imperceptible to a human viewer but detectable by an algorithm. In...
- PRNU
- Photo-Response Non-Uniformity. The per-pixel variation in light sensitivity across a camera sensor, which produces a consistent, device-specific noise pattern in every photograph...
Explained in
- AI-Generated Image Detection and ProvenanceThe drop in a classifier's accuracy when test samples come from a different statistical distribution than the training data. AI-generated image detectors suffe...