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APEx: Accuracy-Aware Differentially Private Data Exploration

Summary: APEx enables accuracy-aware, DP-driven data exploration with adaptive queries and accuracy bounds. It translates queries and bounds into DP algorithms with low privacy loss, guaranteeing accuracy and end-to-end DP proofs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5685
Venue
SIGMOD
Year
2019
Pagerank
6.3824509e-05
Overall Rank
5,055 | 65.32%
DOI
10.1145/3299869.3300092

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ge_sigmod19,
        title = {{APEx: Accuracy-Aware Differentially Private Data Exploration}},
        author = {Ge, Chang and He, Xi and Ilyas, Ihab F. and Machanavajjhala, Ashwin},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3300092},
        url = {https://dl.acm.org/doi/10.1145/3299869.3300092},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Rank Citing Paper Year Venue Pagerank
2,818 CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers 2020 SIGMOD 8.0932359e-05
3,412 Kamino: Constraint-Aware Differentially Private Data Synthesis 2021 VLDB 7.4344343e-05
6,376 DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance 2023 SIGMOD 5.893174e-05
7,909 Differentially Private Data Generation with Missing Data 2024 VLDB 5.5181056e-05
8,843 Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration 2023 VLDB 5.3589295e-05
9,602 Answering Private Linear Queries Adaptively using the Common Mechanism 2023 VLDB 5.2487195e-05
9,604 Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements 2021 SIGMOD 5.2487195e-05
9,717 HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data 2022 VLDB 5.2333549e-05
9,830 PCOR: Private Contextual Outlier Release via Differentially Private Search 2021 SIGMOD 5.2125702e-05
10,224 DP-S4S: Accurate and Scalable Select-Join-Aggregate Query Processing with User-Level Differential Privacy 2026 SIGMOD 5.093636e-05
10,282 Prism: Private Relational Data Synthesis with Language Models 2026 SIGMOD 5.093636e-05
10,313 Differentially Private Explanations for Clusters 2026 SIGMOD 5.093636e-05
11,242 SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores 2024 VLDB 5.093636e-05
11,580 MIDE: Accuracy Aware Minimally Invasive Data Exploration For Decision Support 2022 VLDB 5.093636e-05
11,725 Catch a Blowfish Alive: A Demonstration of Policy-Aware Differential Privacy for Interactive Data Exploration 2021 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

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

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