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)
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Authors
- 1. Amir Gilad
- 2. Tova Milo
- 3. Kathy Razmadze
- 4. Ron Zadicario
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,388 | FEDEX: An Explainability Framework for Data Exploration Steps | 2022 | VLDB | 4.5297787e-05 |
| 8,862 | TabEE: Tabular Embeddings Explanations | 2024 | SIGMOD | 4.4331977e-05 |
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