metadata
title: Scam.AI
emoji: 🛡️
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colorTo: indigo
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Scam.AI
Detection systems for AI-driven fraud.
We build production-grade detectors for deepfakes, document forgery, AI-generated media, and adversarial attacks against identity verification — and release the underlying benchmarks for the research community.
📚 Open Datasets
7 datasets · email-gated · CC-BY-NC-SA 4.0 · auto-approved
| Dataset | What it is |
|---|---|
| RWFS 🎭 | 847 real-world deepfakes from 8 production faceswap tools. Reveals a 30+ pt AUC gap between academic and real-world performance. |
| AIForge-Doc v2 📄 | 3,066 GPT-Image-2 inpainted document forgeries with pixel-precise masks. |
| AIForge-Doc v1 📄 | 4,061 forgeries via Gemini 2.5 / Ideogram v2. Cross-generator pairing with v2. |
| GPT4o-Receipt 📄 | 935 fully AI-synthesized receipts across 159 merchant categories. |
| GPT-Image-2 Twitter 🖼️ | 10,217 confirmed GPT-Image-2 outputs scraped in the first week post-launch. |
| Age Adversarial Attack 🛡️ | 5,809 cosmetic attacks fooling production age estimators 69% of the time. (arXiv:2602.19539) |
| Synthetic Gaze Reading 👁️ | 12 hours of synthetic eye-movement video for interview liveness. |
💼 For Enterprise
Need production-grade detection?
- Detection APIs with latency / accuracy SLAs
- On-premise deployment for regulated industries
- Commercial licensing of our datasets and models
- Custom models trained on your domain
Get in touch via scam.ai.
Building detection for an era when every digital artifact is suspect.