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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
5809
Venue
SIGMOD
Year
2020
Pagerank
8.0911177e-05
Overall Rank
2,806 | 80.49%
DOI
10.1145/3318464.3380596

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

Rank Citing Paper Year Venue Pagerank
1,143 Privacy Preserving Vertical Federated Learning for Tree-based Models 2020 VLDB 0.00013710269
5,229 Improving Utility and Security of the Shuffler-based Differential Privacy 2020 VLDB 5.6154535e-05
5,519 IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy 2022 SIGMOD 5.4619886e-05
5,746 Hu-Fu: Efficient and Secure Spatial Queries over Data Federation 2022 VLDB 5.3420687e-05
6,502 Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System 2023 VLDB 5.0361846e-05
7,196 Longshot: Indexing Growing Databases using MPC and Differential Privacy 2023 VLDB 4.8036487e-05
8,283 Measuring Re-identification Risk 2023 SIGMOD 4.5435639e-05
8,512 Network Shuffling: Privacy Amplification via Random Walks 2022 SIGMOD 4.4947966e-05
9,497 DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy 2021 SIGMOD 4.3341665e-05
10,229 Doppio: Communication-Efficient and Secure Multi-Party Shuffle Differential Privacy 2026 VLDB 4.1945683e-05
10,531 SPECIAL: Synopsis Assisted Secure Collaborative Analytics 2025 VLDB 4.1945683e-05
10,759 PrivAGM: Secure Construction of Differentially Private Directed Attributed Graph Models on Decentralized Social Graphs 2025 VLDB 4.1945683e-05
11,032 SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores 2024 VLDB 4.1945683e-05
11,484 Practical Security and Privacy for Database Systems 2021 SIGMOD 4.1945683e-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
83 Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis 2009 SIGMOD 0.00053933811
177 Limiting Privacy Breaches in Privacy Preserving Data Mining 2003 PODS 0.0003788711
178 Boosting the Accuracy of Differentially Private Histograms Through Consistency 2010 VLDB 0.00037697111
715 Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption 2010 SIGMOD 0.00017725693
719 Understanding Hierarchical Methods for Differentially Private Histograms 2013 VLDB 0.00017626484
742 Optimizing Linear Counting Queries Under Differential Privacy 2010 PODS 0.00017360873
1,738 PrivateSQL: A Differentially Private SQL Query Engine 2019 VLDB 0.00010720057
1,930 Marginal Release Under Local Differential Privacy 2018 SIGMOD 0.00010040732
1,935 A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy 2014 VLDB 0.00010032967
2,465 Principled Evaluation of Differentially Private Algorithms using DPBench 2016 SIGMOD 8.7518123e-05
2,758 Understanding the Sparse Vector Technique for Differential Privacy 2017 VLDB 8.1653216e-05
2,776 iReduct: Differential Privacy with Reduced Relative Errors 2011 SIGMOD 8.1326122e-05
4,502 ϵktelo: A Framework for Defining Differentially-Private Computations 2018 SIGMOD 6.1366984e-05
6,065 APEx: Accuracy-Aware Differentially Private Data Exploration 2019 SIGMOD 5.2291685e-05
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Semantically Similar Papers

Overall Rank Paper Year Venue Pagerank
6,486 Differential Privacy in Data Publication and Analysis 2012 SIGMOD 5.0445043e-05
1,681 GUPT: Privacy Preserving Data Analysis Made Easy 2012 SIGMOD 0.00010929746
1,935 A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy 2014 VLDB 0.00010032967
4,502 ϵktelo: A Framework for Defining Differentially-Private Computations 2018 SIGMOD 6.1366984e-05
10,041 A General Framework for Per-record Differential Privacy 2026 SIGMOD 4.1945683e-05
7,797 Quantifying identifiability to choose and audit epsilon in differentially private deep learning 2021 VLDB 4.6482625e-05
83 Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis 2009 SIGMOD 0.00053933811
10,162 Enhancing Local Differential Privacy Accuracy by Exploiting Inherent Uncertainty 2026 SIGMOD 4.1945683e-05
5,267 Practical Differential Privacy via Grouping and Smoothing 2013 VLDB 5.5972313e-05
8,438 Data Publishing against Realistic Adversaries 2009 VLDB 4.5131088e-05