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CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers

Summary: CryptEpsilon enables central-model DP accuracy with two non-colluding servers on encrypted data. Analysts author DP programs that are automatically compiled into secure protocols, delivering broad expressibility and practical performance via noise-aware optimizations on real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h2095e61fc387b380
Venue
SIGMOD
Year
2020
Pagerank
7.8955405e-05
Overall Rank
2,877 | 80.72%
DOI
10.1145/3318464.3380596

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chowdhury_sigmod20,
        title = {{CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers}},
        author = {Chowdhury, Amrita Roy and Wang, Chenghong and He, Xi and Machanavajjhala, Ashwin and Jha, Somesh},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3380596},
        url = {https://dl.acm.org/doi/10.1145/3318464.3380596},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

Rank Citing Paper Year Venue Pagerank
1,284 Privacy Preserving Vertical Federated Learning for Tree-based Models 2020 VLDB 0.00011195435
4,909 Hu-Fu: Efficient and Secure Spatial Queries over Data Federation 2022 VLDB 6.3469778e-05
5,076 IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy 2022 SIGMOD 6.2720607e-05
5,587 Improving Utility and Security of the Shuffler-based Differential Privacy 2020 VLDB 6.0568958e-05
6,323 Longshot: Indexing Growing Databases using MPC and Differential Privacy 2023 VLDB 5.7958256e-05
6,566 Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System 2023 VLDB 5.728236e-05
8,500 DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy 2021 SIGMOD 5.3131213e-05
8,653 Network Shuffling: Privacy Amplification via Random Walks 2022 SIGMOD 5.2796695e-05
8,713 Measuring Re-identification Risk 2023 SIGMOD 5.2705676e-05
10,773 Doppio: Communication-Efficient and Secure Multi-Party Shuffle Differential Privacy 2026 VLDB 4.9605343e-05
11,281 SPECIAL: SynoPsis AssistEd Secure CollaboratIve AnaLytics 2025 VLDB 4.9605343e-05
11,428 PrivAGM: Secure Construction of Differentially Private Directed Attributed Graph Models on Decentralized Social Graphs 2025 VLDB 4.9605343e-05
11,630 SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores 2024 VLDB 4.9605343e-05
12,039 Practical Security and Privacy for Database Systems 2021 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

Rank Cited Paper Year Venue Pagerank
64 Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis 2009 SIGMOD 0.00038378358
121 Boosting the Accuracy of Differentially Private Histograms Through Consistency 2010 VLDB 0.00030972849
227 Limiting Privacy Breaches in Privacy Preserving Data Mining 2003 PODS 0.00023895095
559 Understanding Hierarchical Methods for Differentially Private Histograms 2013 VLDB 0.00016409103
629 Optimizing Linear Counting Queries Under Differential Privacy 2010 PODS 0.00015421536
736 Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption 2010 SIGMOD 0.00014329631
1,170 PrivateSQL: A Differentially Private SQL Query Engine 2019 VLDB 0.00011687052
1,533 A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy 2014 VLDB 0.00010310932
1,899 Marginal Release Under Local Differential Privacy 2018 SIGMOD 9.3931147e-05
2,064 Understanding the Sparse Vector Technique for Differential Privacy 2017 VLDB 9.0768606e-05
2,315 Principled Evaluation of Differentially Private Algorithms using DPBench 2016 SIGMOD 8.6412356e-05
2,863 iReduct: Differential Privacy with Reduced Relative Errors 2011 SIGMOD 7.9091713e-05
4,434 ϵktelo: A Framework for Defining Differentially-Private Computations 2018 SIGMOD 6.5862354e-05
5,207 APEx: Accuracy-Aware Differentially Private Data Exploration 2019 SIGMOD 6.2156712e-05
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