Privacy-preserving machine learning techniques based on homomorphic encryption for credit risk analysis

@article{v.2026,
  title        = {{Privacy-preserving machine learning techniques based on homomorphic encryption for credit risk analysis}},
  author       = {V. V. L. Divakar Allavarpu et al.},
  journal      = {Electronic Commerce Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s10660-026-10101-y},
}

TY  - JOUR
TI  - Privacy-preserving machine learning techniques based on homomorphic encryption for credit risk analysis
AU  - al., V. V. L. Divakar Allavarpu et
JO  - Electronic Commerce Research
PY  - 2026
ER  -

V. V. L. Divakar Allavarpu et al. (2026). Privacy-preserving machine learning techniques based on homomorphic encryption for credit risk analysis. *Electronic Commerce Research*. https://doi.org/https://doi.org/10.1007/s10660-026-10101-y

V. V. L. Divakar Allavarpu et al.. "Privacy-preserving machine learning techniques based on homomorphic encryption for credit risk analysis." *Electronic Commerce Research* (2026). https://doi.org/https://doi.org/10.1007/s10660-026-10101-y.

Privacy-preserving machine learning techniques based on homomorphic encryption for credit risk analysis
V. V. L. Divakar Allavarpu et al. · Electronic Commerce Research · 2026
https://doi.org/https://doi.org/10.1007/s10660-026-10101-y