Global Anti-Money Laundering Rules Cut Overall Crime but Backfire on Fraud and Corruption
A new cross-national study of 31 FATF members finds that stronger compliance with international anti-money laundering standards significantly lowers total ...
A new cross-national study of 31 FATF members finds that stronger compliance with international anti-money laundering standards significantly lowers total ...
Researchers have combined blockchain-based customer authentication with an ensemble of three machine learning classifiers to detect money laundering with 96.68 ...
A new graph-structured Transformer model trained with self-supervised learning and community-consensus pseudo-labeling achieves record F1-scores for detecting cryptocurrency money laundering ...
A hybrid topic-modeling and expert-calibration framework called TED-FinRisk turns more than 1,000 illegal fundraising case texts into an interpretable six-category ...
A controlled study of synthetic identity fraud detection shows that rule-anchored heterogeneous graph models win through complete identity relation structure ...
Researchers have developed E-GTNet, a hybrid graph neural network that detects and visualizes evolving illicit Bitcoin transaction networks using edge-aware ...
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© 2025 Scienmag - Science Magazine