Back to papers
Privacy-preserving and Verifiable Causal Prescriptive Analytics
Summary: zkCLEAR: a ZKP-based causal inference framework proving prescriptive recommendations without revealing data or models, enabling verifiable, privacy-preserving prescriptive analytics. Designs ZKP-friendly causal operators and workflow decomposition, yielding major efficiency gains (up to 35.1× faster proofs, 214.5× smaller proofs) over general-purpose ZKP systems.
(summarized by gpt-5-mini on Feb 11 2026)
- Paper ID
- 7412
- Venue
- SIGMOD
- Year
- 2026
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,101 | 29.80%
- DOI
-
10.1145/3769815
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 943 |
A Formal Approach to Finding Explanations for Database Queries |
2014 |
SIGMOD |
0.00015140995 |
| 1,037 |
Interventional Fairness : Causal Database Repair for Algorithmic Fairness |
2019 |
SIGMOD |
0.00014514825 |
| 1,099 |
Privacy Preserving Vertical Federated Learning for Tree-based Models |
2020 |
VLDB |
0.00014063542 |
| 1,119 |
The Complexity of Causality and Responsibility for Query Answers and non-Answers |
2011 |
VLDB |
0.00013851012 |
| 1,454 |
Causal Relational Learning |
2020 |
SIGMOD |
0.00011921443 |
| 2,925 |
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals |
2021 |
SIGMOD |
7.8877522e-05 |
| 4,844 |
Data is Dead… Without What-If Models |
2011 |
VLDB |
5.8757301e-05 |
| 5,321 |
XInsight: eXplainable Data Analysis Through The Lens of Causality |
2023 |
SIGMOD |
5.5676564e-05 |
| 5,617 |
HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach |
2022 |
SIGMOD |
5.4085897e-05 |
| 6,256 |
ZKSQL: Verifiable and Efficient Query Evaluation with Zero-Knowledge Proofs |
2023 |
VLDB |
5.1317554e-05 |
| 6,445 |
Causal Data Integration |
2023 |
VLDB |
5.0539192e-05 |
| 7,172 |
Summarized Causal Explanations For Aggregate Views |
2024 |
SIGMOD |
4.8068645e-05 |
| 7,441 |
Continual Observation of Joins under Differential Privacy |
2024 |
SIGMOD |
4.7251588e-05 |
| 7,449 |
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport |
2024 |
SIGMOD |
4.7224022e-05 |
| 8,453 |
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs |
2024 |
VLDB |
4.5022073e-05 |
| 9,642 |
PoneglyphDB: Efficient Non-interactive Zero-Knowledge Proofs for Arbitrary SQL-Query Verification |
2025 |
SIGMOD |
4.3067693e-05 |
| 9,644 |
Fair and Actionable Causal Prescription Ruleset |
2025 |
SIGMOD |
4.3067693e-05 |
| 9,653 |
Secure Sampling for Approximate Multi-party Query Processing |
2023 |
SIGMOD |
4.3067693e-05 |
| 9,655 |
TransNet: Training Privacy-Preserving Neural Network over Transformed Layer |
2020 |
VLDB |
4.3067693e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 1,454 |
Causal Relational Learning |
2020 |
SIGMOD |
0.00011921443 |
| 2,791 |
CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers |
2020 |
SIGMOD |
8.1198086e-05 |
| 3,306 |
Plausible Deniability for Privacy-Preserving Data Synthesis |
2017 |
VLDB |
7.2411112e-05 |
| 6,565 |
Toward Interpretable and Actionable Data Analysis with Explanations and Causality |
2022 |
VLDB |
5.0033542e-05 |
| 9,642 |
PoneglyphDB: Efficient Non-interactive Zero-Knowledge Proofs for Arbitrary SQL-Query Verification |
2025 |
SIGMOD |
4.3067693e-05 |
| 83 |
Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis |
2009 |
SIGMOD |
0.00053910987 |
| 4,664 |
PrivateClean: Data Cleaning and Differential Privacy |
2016 |
SIGMOD |
6.0058132e-05 |
| 10,957 |
Counterfactual Explanation at Will, with Zero Privacy Leakage |
2024 |
SIGMOD |
4.1905499e-05 |
| 8,453 |
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs |
2024 |
VLDB |
4.5022073e-05 |
| 6,256 |
ZKSQL: Verifiable and Efficient Query Evaluation with Zero-Knowledge Proofs |
2023 |
VLDB |
5.1317554e-05 |