A hybrid scheme combines SVD-truncated and rotated document vectors with CKKS-encrypted query reranking to preserve semantic search ranking quality at million-document scale under a restricted threat model while resisting embedding inversion.
Hybrid Method for Privacy-Preserving Semantic Search Based on Homomorphic Encryption and Random Projections,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Hybrid privacy-aware semantic search: SVD-truncated document geometry and CKKS-encrypted query reranking under a restricted threat model
A hybrid scheme combines SVD-truncated and rotated document vectors with CKKS-encrypted query reranking to preserve semantic search ranking quality at million-document scale under a restricted threat model while resisting embedding inversion.