Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering
Summary: Chiaroscuro proposes Diptych, a privacy-preserving method enabling encrypted, DP-based collaboration for time-series clustering. Distributed on-device execution tolerates churn, delivering high clustering quality with DP and validated on real/synthetic data. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Tristan Allard (Institute for Research in Computer Science and Random Systems (IRISA); University of Rennes)
- 2. Georges Hébrail (Électricité de France Research and Development (EDF R&D))
- 3. Florent Masseglia (INRIA; Laboratory of Computer Science, Robotics and Microelectronics of Montpellier; University of Montpellier)
- 4. Esther Pacitti (INRIA; Laboratory of Computer Science, Robotics and Microelectronics of Montpellier; University of Montpellier)
BibTeX Citation
@inproceedings{allard_sigmod15,
title = {{Chiaroscuro: Transparency and Privacy for Massive Personal Time-Series Clustering}},
author = {Allard, Tristan and Hébrail, Georges and Masseglia, Florent and Pacitti, Esther},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2749453},
url = {https://dl.acm.org/doi/10.1145/2723372.2749453},
year = {2015}
}
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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 |
|---|---|---|---|---|
| 757 | Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption | 2010 | SIGMOD | 0.00014306168 |
| 12,460 | Secure Personal Data Servers: a Vision Paper | 2010 | VLDB | 5.093636e-05 |
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