PCOR: Private Contextual Outlier Release via Differentially Private Search
Summary: PCOR tackles contextual outliers under a relaxed differential privacy that preserves valid context per queried record. A graph-based map with DP graph-search enables efficient private context discovery and utility scoring. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,388 | FEDEX: An Explainability Framework for Data Exploration Steps | 2022 | VLDB | 4.5297787e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 161 | LOF: Identifying Density-Based Local Outliers | 2000 | SIGMOD | 0.00039846974 |
| 453 | Towards Practical Differential Privacy for SQL Queries | 2018 | VLDB | 0.00022741848 |
| 4,679 | Locating a Small Cluster Privately | 2016 | PODS | 6.0044653e-05 |
| 5,246 | Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics | 2017 | SIGMOD | 5.6063332e-05 |
| 6,065 | APEx: Accuracy-Aware Differentially Private Data Exploration | 2019 | SIGMOD | 5.2291685e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,513 | Computing Inconsistency Measures Under Differential Privacy | 2025 | SIGMOD | 4.1945683e-05 |
| 4,668 | PrivateClean: Data Cleaning and Differential Privacy | 2016 | SIGMOD | 6.0115918e-05 |
| 774 | Algorithms for Mining Distance-Based Outliers in Large Datasets | 1998 | VLDB | 0.00016865771 |
| 4,509 | Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge | 2007 | VLDB | 6.1270304e-05 |
| 11,467 | Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach | 2021 | SIGMOD | 4.1945683e-05 |
| 4,679 | Locating a Small Cluster Privately | 2016 | PODS | 6.0044653e-05 |
| 3,760 | Output Perturbation with Query Relaxation | 2008 | VLDB | 6.7805033e-05 |
| 10,041 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD | 4.1945683e-05 |
| 4,552 | Outlier Detection for High Dimensional Data | 2001 | SIGMOD | 6.0922282e-05 |
| 8,282 | Privately Answering Queries on Skewed Data via Per-Record Differential Privacy | 2024 | VLDB | 4.5435639e-05 |