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Saibot: A Differentially Private Data Search Platform

Summary: Saibot privatizes reusable semiring statistics with a Factorized Privacy Mechanism (FPM), enabling scalable DP data-search for ML-centric dataset augmentations without repeated training/evaluation. FPM minimizes sensitivity via unbiased many-to-many join estimators and noise-redistribution, preserving linear-regression utility (50–90% of nonprivate accuracy on 329 datasets) and outperforming TPM/APM/shuffling. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13145
Venue
VLDB
Year
2023
Pagerank
4.7180617e-05
Overall Rank
7,491 | 47.89%
DOI
10.14778/3611479.3611508

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
6,077 The Fast and the Private: Task-based Dataset Search 2024 CIDR 5.2229324e-05
10,725 Suna: Scalable Causal Confounder Discovery over Relational Data 2025 VLDB 4.1945683e-05
10,946 An LDP Compatible Sketch for Securely Approximating Set Intersection Cardinalities 2024 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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