DIAS: Differentially Private Interactive Algorithm Selection using Pythia
Summary: DIAS (Differentially-private Interactive Algorithm Selection) presents an educational privacy game for selecting DP algorithms on low-dimensional counting queries. Comparing user choices to Pythia highlights input-sensitive performance and the need for principled algorithm selection in DP data analysis. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Ios Kotsogiannis (Duke University)
- 2. Michael Hay (Colgate University)
- 3. Ashwin Machanavajjhala (Duke University)
- 4. Gerome Miklau (University of Massachusetts Amherst)
- 5. Margaret Orr (Colgate University)
BibTeX Citation
@inproceedings{kotsogiannis_sigmod17,
title = {{DIAS: Differentially Private Interactive Algorithm Selection using Pythia}},
author = {Kotsogiannis, Ios and Hay, Michael and Machanavajjhala, Ashwin and Miklau, Gerome and Orr, Margaret},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3056441},
url = {https://dl.acm.org/doi/10.1145/3035918.3056441},
year = {2017}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,300 | Principled Evaluation of Differentially Private Algorithms using DPBench | 2016 | SIGMOD | 8.7833594e-05 |
| 7,359 | Pythia: Data Dependent Differentially Private Algorithm Selection | 2017 | SIGMOD | 5.6341162e-05 |
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