Local, explainable OSINT checker and multilingual research dataset for detecting job, task, reshipping, money-mule and investment scams without paid APIs or cloud AI
PyTorch implementation of TransFASNet: a single-branch Transformer with contrastive self-supervised pretraining (NT-Xent) for credit card fraud detection on tabular data.
A community-driven web application dedicated to identifying, tracking, and reporting online scammers, fraudsters, and fake services in Bangladesh.
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.
銀行帳戶詐欺偵測
LLM red team vs. ML blue team for payment fraud: a closed adversarial loop that generates, detects, explains, and gets stronger every round
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