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cs.LG2026
FraudBench: Protocol-Sensitive Benchmarking of Adversarial Robustness for Financial Risk Assessment
Xitong Zeng, Zhaoge Bi, Yitian Yang +2
Machine learning models are widely used in financial fraud and credit-risk detection, yet their adversarial robustness remains difficult to evaluate because financial tabular data…
cs.CR2026
When AI Meets Wall Street: A Survey on Trustworthy AI in Fintech
Qingwen Zeng, Zhenghao Zhao, Yitian Yang +6
Artificial intelligence is now embedded as a primary decision engine in continuously operated financial AI pipelines spanning training and updating, deployment and inference, and o…