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Secure Vector Databases and Secure Vector Computation

The article explores the challenges and opportunities of recent advancements in computing and data engineering, proposing Secure Vector Databases and Secure Vector Computation as potential solutions for machine learning applications using post-quantum cryptographic techniques.

Featured in No. 48 on 8 May 2024 · 4 days after release · 0 citations today

Released
4 May 2024
First featured
No. 48 · 8 May 2024
Citations (Semantic Scholar)
0
Influential citations
0
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
2
Identifier
SSRN 4817363

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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