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ϵktelo: A Framework for Defining Differentially-Private Computations

Summary: ϵktelo: a framework for defining differentially private computations. Linear counting queries decompose into a small set of operator classes, enabling accurate, efficient, reusable DP programs and safer authoring for novices and experts, including new state-of-the-art algorithms. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5629
Venue
SIGMOD
Year
2018
Pagerank
6.7443476e-05
Overall Rank
4,361 | 70.09%
DOI
10.1145/3183713.3196921

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod18,
        title = {{ϵktelo: A Framework for Defining Differentially-Private Computations}},
        author = {Zhang, Dan and McKenna, Ryan and Kotsogiannis, Ios and Hay, Michael and Machanavajjhala, Ashwin and Miklau, Gerome},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3196921},
        url = {https://dl.acm.org/doi/10.1145/3183713.3196921},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank Citing Paper Year Venue Pagerank
1,144 PrivateSQL: A Differentially Private SQL Query Engine 2019 VLDB 0.00011999046
2,818 CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers 2020 SIGMOD 8.0932359e-05
5,055 APEx: Accuracy-Aware Differentially Private Data Exploration 2019 SIGMOD 6.3824509e-05
6,376 DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance 2023 SIGMOD 5.893174e-05
7,147 Architecting a Differentially Private SQL Engine 2019 CIDR 5.6902859e-05
7,488 Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming 2022 VLDB 5.6072422e-05
7,668 A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy 2023 SIGMOD 5.5711643e-05
7,924 PSynDB: Accurate and Accessible Private Data Generation 2019 VLDB 5.5181056e-05
9,569 Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms 2020 VLDB 5.2528121e-05
9,604 Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements 2021 SIGMOD 5.2487195e-05
11,682 Practical Security and Privacy for Database Systems 2021 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
62 Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis 2009 SIGMOD 0.00038970535
121 Boosting the Accuracy of Differentially Private Histograms Through Consistency 2010 VLDB 0.00031639377
130 Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release 2007 PODS 0.00030604781
567 Understanding Hierarchical Methods for Differentially Private Histograms 2013 VLDB 0.00016420715
611 Optimizing Linear Counting Queries Under Differential Privacy 2010 PODS 0.00015747402
1,220 Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets 2014 VLDB 0.00011619529
1,308 PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions 2016 SIGMOD 0.00011216361
1,504 A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy 2014 VLDB 0.00010548904
2,108 An Adaptive Mechanism for Accurate Query Answering under Differential Privacy 2012 VLDB 9.1553397e-05
2,300 Principled Evaluation of Differentially Private Algorithms using DPBench 2016 SIGMOD 8.7833594e-05
4,881 Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics 2017 SIGMOD 6.465615e-05
7,359 Pythia: Data Dependent Differentially Private Algorithm Selection 2017 SIGMOD 5.6341162e-05
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# Overall Rank Paper Year Venue
1 2,856 Publishing Set-Valued Data via Differential Privacy 2011 VLDB
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3 281 Towards Practical Differential Privacy for SQL Queries 2018 VLDB
4 2,300 Principled Evaluation of Differentially Private Algorithms using DPBench 2016 SIGMOD
5 7,147 Architecting a Differentially Private SQL Engine 2019 CIDR
6 1,144 PrivateSQL: A Differentially Private SQL Query Engine 2019 VLDB
7 1,504 A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy 2014 VLDB
8 2,108 An Adaptive Mechanism for Accurate Query Answering under Differential Privacy 2012 VLDB
9 62 Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis 2009 SIGMOD
10 2,818 CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers 2020 SIGMOD