Privacy-Preserving Credit Card Fraud Detection using Homomorphic Encryption. (arXiv:2211.06675v1 [cs.CR])

Credit card fraud is a problem continuously faced by financial institutions
and their customers, which is mitigated by fraud detection systems. However,
these systems require the use of sensitive customer transaction data, which
introduces both a lack of privacy for the customer and a data breach
vulnerability to the card provider. This paper proposes a system for private
fraud detection on encrypted transactions using homomorphic encryption. Two
models, XGBoost and a feedforward classifier neural network, are trained as
fraud detectors …

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