Demonstration of DPClustX: Differentially Private Explanations for Clusters
Summary: DPClustX offers DP, histogram-based explanations for black-box clustering with attribute selection for compact, privacy-aware histograms. An integrated LLM plugin adds natural-language explanations; the Python package supports any DP clustering algorithm. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Amir Gilad
- 2. Tova Milo
- 3. Kathy Razmadze
- 4. Ron Zadicario
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,388 | FEDEX: An Explainability Framework for Data Exploration Steps | 2022 | VLDB | 4.525436e-05 |
| 8,862 | TabEE: Tabular Embeddings Explanations | 2024 | SIGMOD | 4.4289485e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,041 | A General Framework for Per-record Differential Privacy | 2026 | SIGMOD | 4.1905499e-05 |
| 11,126 | PD-Explain: A Unified Python-native Framework for Query Explanations Over DataFrames | 2024 | VLDB | 4.1905499e-05 |
| 6,067 | APEx: Accuracy-Aware Differentially Private Data Exploration | 2019 | SIGMOD | 5.2241487e-05 |
| 4,248 | DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing | 2014 | VLDB | 6.3175826e-05 |
| 10,480 | Approximate DBSCAN under Differential Privacy | 2025 | SIGMOD | 4.1905499e-05 |
| 5,079 | Exploring Privacy-Accuracy Tradeoffs using DPComp | 2016 | SIGMOD | 5.7082242e-05 |
| 10,566 | Explaining Black-Box Clustering Pipelines With Cluster-Explorer | 2025 | VLDB | 4.1905499e-05 |
| 11,283 | Explaining Differentially Private Query Results With DPXPlain | 2023 | VLDB | 4.1905499e-05 |
| 9,768 | DPXPlain: Privately Explaining Aggregate Query Answers | 2023 | VLDB | 4.2815042e-05 |
| 10,015 | Differentially Private Explanations for Clusters | 2026 | SIGMOD | 4.1905499e-05 |