PrivTabRAG: A data-model co-design framework for privacy-preserving retrieval-augmented generation on tabular data
Fields of Study & Subjects
Privacy-Preserving Technologies in Data
Cryptography and Data Security
Data Quality and Management
Publication details
- Journal / source
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Volume
- 321
- Pages
- 132023–132023
- Publication date
- 31 March 2026
- Language
- EN