Privacy-preserving machine learning techniques based on homomorphic encryption for credit risk analysis
Fields of Study & Subjects
Financial Distress and Bankruptcy Prediction
Credit Risk and Financial Regulations
Privacy-Preserving Technologies in Data
Publication details
- Journal / source
- Electronic Commerce Research
- Publisher
- Springer Science and Business Media LLC
- Volume
- 26
- Issue
- 3
- Pages
- 2771–2801
- Publication date
- 28 January 2026
- Language
- EN