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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
- 6895
- Venue
- SIGMOD
- Year
- 2024
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,954 | 23.80%
- 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 |
0.0007857786 |
| 214 |
Scorpion: Explaining Away Outliers in Aggregate Queries |
2013 |
VLDB |
0.0003363692 |
| 942 |
A Formal Approach to Finding Explanations for Database Queries |
2014 |
SIGMOD |
0.00015155714 |
| 1,099 |
Interpretable and Informative Explanations of Outcomes |
2015 |
VLDB |
0.00014096312 |
| 1,119 |
The Complexity of Causality and Responsibility for Query Answers and non-Answers |
2011 |
VLDB |
0.0001386199 |
| 1,725 |
Max-Sum Diversification, Monotone Submodular Functions and Dynamic Updates |
2012 |
PODS |
0.00010748322 |
| 1,867 |
Interpretable Data-Based Explanations for Fairness Debugging |
2022 |
SIGMOD |
0.00010272055 |
| 2,402 |
Causality and Explanations in Databases |
2014 |
VLDB |
8.8928361e-05 |
| 2,602 |
Tracing Data Errors with View-Conditioned Causality |
2011 |
SIGMOD |
8.4667197e-05 |
| 2,649 |
Explaining Query Answers with Explanation-Ready Databases |
2016 |
VLDB |
8.3719123e-05 |
| 2,749 |
Towards Tight Bounds for the Streaming Set Cover Problem |
2016 |
PODS |
8.1773535e-05 |
| 2,923 |
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals |
2021 |
SIGMOD |
7.8953538e-05 |
| 4,614 |
Interactive Summarization and Exploration of Top Aggregate Query Answers |
2018 |
VLDB |
6.0467204e-05 |
| 4,872 |
Explainable AI: Foundations, Applications, Opportunities for Data Management Research |
2022 |
SIGMOD |
5.8609352e-05 |
| 5,418 |
High-Level Why-Not Explanations using Ontologies |
2015 |
PODS |
5.5178123e-05 |
| 5,607 |
HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach |
2022 |
SIGMOD |
5.4137872e-05 |
| 6,449 |
Causal Data Integration |
2023 |
VLDB |
5.0587746e-05 |
| 6,475 |
Explain3D: Explaining Disagreements in Disjoint Datasets |
2019 |
VLDB |
5.0497183e-05 |
| 6,696 |
Approximate Summaries for Why and Why-not Provenance |
2020 |
VLDB |
4.9581958e-05 |
| 6,944 |
DataPrism: Exposing Disconnect between Data and Systems |
2022 |
SIGMOD |
4.8912787e-05 |
| 7,262 |
HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries |
2018 |
VLDB |
4.78584e-05 |
| 7,888 |
Scalable Package Queries in Relational Database Systems |
2016 |
VLDB |
4.6254226e-05 |
| 8,021 |
Scaling Package Queries to a Billion Tuples via Hierarchical Partitioning and Customized Optimization |
2024 |
VLDB |
4.6039546e-05 |
| 8,341 |
BugDoc: Algorithms to Debug Computational Processes |
2020 |
SIGMOD |
4.5433282e-05 |
| 9,024 |
Causality-Guided Adaptive Interventional Debugging |
2020 |
SIGMOD |
4.4075011e-05 |
| 9,831 |
sPaQLTooLs: A Stochastic Package Query Interface for Scalable Constrained Optimization |
2020 |
VLDB |
4.2751057e-05 |
| 10,939 |
Relative Keys: Putting Feature Explanation into Context |
2024 |
SIGMOD |
4.1945683e-05 |
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VLDB |
4.3849295e-05 |