Local, explainable OSINT checker and multilingual research dataset for detecting job, task, reshipping, money-mule and investment scams without paid APIs or cloud AI
LLM red team vs. ML blue team for payment fraud: a closed adversarial loop that generates, detects, explains, and gets stronger every round
銀行帳戶詐欺偵測
Fraud detection and document RAG across four domains. Rules, then ML, then an LLM for borderline cases; every verdict names the layer that decided it.
Probabilistic identity continuity for hostile browser environments. Drift-tolerant confidence scoring that tracks returning visitors across cookie deletion, VPNs, and anti-fingerprinting - without PII.
A community-driven web application dedicated to identifying, tracking, and reporting online scammers, fraudsters, and fake services in Bangladesh.
PyTorch implementation of TransFASNet: a single-branch Transformer with contrastive self-supervised pretraining (NT-Xent) for credit card fraud detection on tabular data.
To associate your repository with the fraud-detection-engine topic, visit your repo's landing page and select "manage topics."