SHARD introduces cell-keyed residual splitting that turns dense retrieval embeddings into revocable, renewable, unlinkable templates resistant to alignment attacks while preserving exact utility under CKKS reranking.
Hybrid Method for Privacy-Preserving Semantic Search Based on Homomorphic Encryption and Random Projections,
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Hybrid privacy method for semantic search truncates and rotates document vectors geometrically while encrypting queries with CKKS, preserving retrieval quality on 1M-document corpora under a restricted threat model.
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SHARD: cell-keyed residual splitting for alignment-resistant private dense retrieval
SHARD introduces cell-keyed residual splitting that turns dense retrieval embeddings into revocable, renewable, unlinkable templates resistant to alignment attacks while preserving exact utility under CKKS reranking.
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Hybrid privacy-aware semantic search: SVD-truncated document geometry and CKKS-encrypted query reranking under a restricted threat model
Hybrid privacy method for semantic search truncates and rotates document vectors geometrically while encrypting queries with CKKS, preserving retrieval quality on 1M-document corpora under a restricted threat model.