pixelprism-ai/dfd-arena-mini

PixelPrism v0.1 — DFD Arena Submission

Sanitized single-detector submission for the BitMind Deepfake Detection Arena.

This repo represents the most informative single component of PixelPrism's production V9 16-detector ensemble, wrapped in the BitMind DeepfakeDetector interface so it can be evaluated alongside NPR / UCF / CAMO on the public leaderboard.

What's in this submission

A wrapper around the Swin V2 transformer head (haywoodsloan/ai-image-detector-deploy, MIT licensed). In PixelPrism's V9 permutation-importance audit (8000 samples, 5 reps), Swin V2 ranked #1 by a wide margin at importance 0.271, vs 0.109 for the next-best detector (vit3) and 0.032 for DIRE-FLUX. It alone accounts for ~38% of V9's total discriminative power.

What's NOT in this submission

The full PixelPrism V9 ensemble fuses 16 detectors via a HistGradientBoostingClassifier meta-classifier:

fft, vit, vit2, vit3, dire (SD 1.5), clip, srm, exif, face,
cfa, prnu, c2pa, anatomy, swin, dire_sdxl, dire_flux

Some V9 components depend on weights that are not MIT-redistributable:

• dire_flux uses FLUX.1-schnell (non-commercial license)
• dire_sdxl uses Stability SDXL (CreativeML OpenRAIL-M)
• face uses FaceForensics++ Xception variants (access-gated)

Those stay in our internal production stack rather than the public submission.

Live full-ensemble numbers

The full V9 ensemble is live at https://pixelprism.ai/api/detect (paid) and https://pixelprism.ai/api/scan-public (5/day free tier). Per-generator detection rates and 30-day drift trend are published at https://pixelprism.ai/leaderboard (refreshed monthly with each retrain).

V9 internal holdout (8000 stratified samples, 4000 real / 4000 AI):

Metric	V9
Overall	96.7%
Real	96.1%
AI	97.4%
Per-generator min	91.0% (Grok)
Drift gap (fresh AI vs known AI)	−2.7pp (fresh AI now BEATS known AI)

Files in this repo

File	Purpose
pixelprism_detector.py	The DeepfakeDetector subclass registered as PixelPrism in DETECTOR_REGISTRY
pixelprism_config.yaml	YAML config with hf_repo, backbone_repo, ai_label_idx
model.safetensors	Swin V2 weights (re-hosted, byte-identical to upstream)
config.json	Swin V2 model config
preprocessor_config.json	Swin V2 image preprocessor config
README.md	This file

Citation / contact

If you use this in research or a comparison study, cite:

• The Swin V2 detector: haywoodsloan/ai-image-detector-deploy
• PixelPrism's full ensemble methodology: https://pixelprism.ai/leaderboard

Operator: Chris Crawley, PixelPrism.ai · https://pixelprism.ai

License

MIT (matches the upstream Swin V2 model + matches the BitMind DFD Arena requirement).