most citedPrivacy-Preserving Approximate Nearest Neighbor Search on High-Dimensional Data

2 citations · 2 across the 2 of their papers we have counts for

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2 papers

cs.DB2026

Efficient Privacy-Preserving Range Filtered Approximate Nearest Neighbor Search

Haoyu Wang, Yandi Zhang, Jiadong Xie +4

Range-filtered approximate nearest neighbor search (RFANNS) is an important primitive for vector databases; it retrieves vectors that are similar to a query and satisfy a numerical…

cs.DB2025★ 2 cited

Privacy-Preserving Approximate Nearest Neighbor Search on High-Dimensional Data

Yingfan Liu, Yandi Zhang, Jiadong Xie +3

In the era of cloud computing and AI, data owners outsource ubiquitous vectors to the cloud, which furnish approximate -nearest neighbors (-ANNS) services to users. To protec…