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.

🌐 scam.ai · 📑 Research

📚 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.