IoT-Detective: Analyzing IoT Data Under Differential Privacy
Summary: IoT-Detective adapts PeGaSus DP streaming for real IoT data on UC Irvine's TIPPERS testbed. The demo uses a game to measure usefulness of private streams via visual analysis, exposing application-driven privacy-utility trade-offs in live IoT data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sameera Ghayyur
- 2. Yan Chen
- 3. Roberto Yus
- 4. Ashwin Machanavajjhala
- 5. Michael Hay
- 6. Gerome Miklau
- 7. Sharad Mehrotra
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,469 | CGM: An Enhanced Mechanism for Streaming Data Collection with Local Differential Privacy | 2021 | VLDB | 7.0674518e-05 |
| 11,382 | MIDE: Accuracy Aware Minimally Invasive Data Exploration For Decision Support | 2022 | VLDB | 4.1945683e-05 |
| 11,536 | LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization | 2021 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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