TransXion introduces a synthetic AML transaction benchmark with rich entity profiles and non-template adversarial anomaly synthesis that lowers detection model performance compared to prior benchmarks.
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UniDetect is an LLM-based system that generates universal transaction summary texts and uses two-stage multimodal training on text plus graphs to detect fraudulent accounts across heterogeneous blockchains, outperforming baselines by 5.57-7.58% KS and achieving over 94.58% zero-shot cross-chain and
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TransXion: A High-Fidelity Graph Benchmark for Realistic Anti-Money Laundering
TransXion introduces a synthetic AML transaction benchmark with rich entity profiles and non-template adversarial anomaly synthesis that lowers detection model performance compared to prior benchmarks.