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Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration

Summary: CacheDP: an interactive, accuracy-aware DP query engine that maintains a differentially private cache of past answers to reuse for new workloads, reducing incremental privacy cost while meeting per-query accuracy guarantees. Novel cache-aware DP cost optimization that integrates complex DP mechanisms with the structured cache to minimize cumulative privacy loss. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13313
Venue
VLDB
Year
2023
Pagerank
4.4393184e-05
Overall Rank
8,837 | 38.53%
DOI
10.14778/3574245.3574246

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
7,417 DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance 2023 SIGMOD 4.7355114e-05
10,664 Calibrating Noise for Group Privacy in Subsampled Mechanisms 2025 VLDB 4.1945683e-05
10,860 Exploring Exploratory Querying 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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