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)
Incoming Non-self Citations Over Time
Authors
- 1. Miti Mazmudar
- 2. Thomas Humphries
- 3. Jiaxiang Liu
- 4. Matthew Rafuse
- 5. Xi He
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,416 | DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance | 2023 | SIGMOD | 4.7309698e-05 |
| 10,672 | Calibrating Noise for Group Privacy in Subsampled Mechanisms | 2025 | VLDB | 4.1905499e-05 |
| 10,864 | Exploring Exploratory Querying | 2025 | VLDB | 4.1905499e-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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Semantically Similar Papers
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| 1,740 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB | 0.00010696383 |
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| 2,278 | An Adaptive Mechanism for Accurate Query Answering under Differential Privacy | 2012 | VLDB | 9.1254873e-05 |
| 11,283 | Explaining Differentially Private Query Results With DPXPlain | 2023 | VLDB | 4.1905499e-05 |
| 6,969 | Architecting a Differentially Private SQL Engine | 2019 | CIDR | 4.8749348e-05 |
| 9,768 | DPXPlain: Privately Explaining Aggregate Query Answers | 2023 | VLDB | 4.2815042e-05 |
| 6,067 | APEx: Accuracy-Aware Differentially Private Data Exploration | 2019 | SIGMOD | 5.2241487e-05 |