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Counterfactual Explanation at Will, with Zero Privacy Leakage
Summary: CPC: client-side, data-driven counterfactual explanations that work even without model-owner cooperation, restoring user control over the right-to-explain. Key novelty: formal zero-privacy-leakage guarantee against model extraction, with complexity analysis plus fast, high-quality algorithms.
(summarized by gpt-5.4-mini on May 24 2026)
- Paper ID
- 6896
- Venue
- SIGMOD
- Year
- 2024
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,957 | 23.85%
- DOI
-
10.1145/3654933
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 27 of 27 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 31 |
Provenance Semirings |
2007 |
PODS |
0.00078516827 |
| 213 |
Scorpion: Explaining Away Outliers in Aggregate Queries |
2013 |
VLDB |
0.0003371037 |
| 943 |
A Formal Approach to Finding Explanations for Database Queries |
2014 |
SIGMOD |
0.00015140995 |
| 1,096 |
Interpretable and Informative Explanations of Outcomes |
2015 |
VLDB |
0.00014088686 |
| 1,119 |
The Complexity of Causality and Responsibility for Query Answers and non-Answers |
2011 |
VLDB |
0.00013851012 |
| 1,717 |
Max-Sum Diversification, Monotone Submodular Functions and Dynamic Updates |
2012 |
PODS |
0.00010768447 |
| 1,869 |
Interpretable Data-Based Explanations for Fairness Debugging |
2022 |
SIGMOD |
0.00010263235 |
| 2,400 |
Causality and Explanations in Databases |
2014 |
VLDB |
8.884178e-05 |
| 2,600 |
Tracing Data Errors with View-Conditioned Causality |
2011 |
SIGMOD |
8.4652308e-05 |
| 2,655 |
Explaining Query Answers with Explanation-Ready Databases |
2016 |
VLDB |
8.3638668e-05 |
| 2,755 |
Towards Tight Bounds for the Streaming Set Cover Problem |
2016 |
PODS |
8.1694565e-05 |
| 2,925 |
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals |
2021 |
SIGMOD |
7.8877522e-05 |
| 4,608 |
Interactive Summarization and Exploration of Top Aggregate Query Answers |
2018 |
VLDB |
6.046643e-05 |
| 4,875 |
Explainable AI: Foundations, Applications, Opportunities for Data Management Research |
2022 |
SIGMOD |
5.8552996e-05 |
| 5,428 |
High-Level Why-Not Explanations using Ontologies |
2015 |
PODS |
5.5125084e-05 |
| 5,617 |
HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach |
2022 |
SIGMOD |
5.4085897e-05 |
| 6,445 |
Causal Data Integration |
2023 |
VLDB |
5.0539192e-05 |
| 6,468 |
Explain3D: Explaining Disagreements in Disjoint Datasets |
2019 |
VLDB |
5.0448709e-05 |
| 6,700 |
Approximate Summaries for Why and Why-not Provenance |
2020 |
VLDB |
4.9534371e-05 |
| 6,948 |
DataPrism: Exposing Disconnect between Data and Systems |
2022 |
SIGMOD |
4.8865863e-05 |
| 7,262 |
HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries |
2018 |
VLDB |
4.7811818e-05 |
| 7,871 |
Scalable Package Queries in Relational Database Systems |
2016 |
VLDB |
4.626492e-05 |
| 8,022 |
Scaling Package Queries to a Billion Tuples via Hierarchical Partitioning and Customized Optimization |
2024 |
VLDB |
4.599539e-05 |
| 8,335 |
BugDoc: Algorithms to Debug Computational Processes |
2020 |
SIGMOD |
4.538972e-05 |
| 9,025 |
Causality-Guided Adaptive Interventional Debugging |
2020 |
SIGMOD |
4.4032759e-05 |
| 9,830 |
sPaQLTooLs: A Stochastic Package Query Interface for Scalable Constrained Optimization |
2020 |
VLDB |
4.2710095e-05 |
| 10,942 |
Relative Keys: Putting Feature Explanation into Context |
2024 |
SIGMOD |
4.1905499e-05 |
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VLDB |
4.380727e-05 |