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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Updated
Sep 2, 2026 - Python
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
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.
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