GitHub - berhankarabay/Machine-Learning-for-Transaction-Monitoring: This study explores enabling data sharing among financial institutions to improve their Anti-Money Laundering schemes. It utilizes a Privacy- Preserving Machine Learning framework leveraging TFHE scheme, a secure cryptographic FHE technique. Furthermore, it uses a synthetic dataset generated by IBM, representing an entire financial ecosystem.

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This study explores enabling data sharing among financial institutions to improve their Anti-Money Laundering schemes. It utilizes a Privacy- Preserving Machine Learning framework leveraging TFHE scheme, a secure cryptographic FHE technique. Furthermore, it uses a synthetic dataset generated by IBM, representing an entire financial ecosystem.

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Dissertation-berhankarabay_13460222.pdf		Dissertation-berhankarabay_13460222.pdf
FinTechDissertation-13460222 .py		FinTechDissertation-13460222 .py