DENOUNCER: Detection of Unfairness in Classifiers
Summary: DENOUNCER enables efficient discovery of unfair groups under various fairness notions, reducing combinatorial search over protected attributes. An interactive system analyzes a classifier on a test set to explore fairness metrics and compare groups. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jinyang Li (University of Michigan)
- 2. Yuval Moskovitch (University of Michigan)
- 3. H. V. Jagadish (University of Michigan)
BibTeX Citation
@article{li_vldb21,
title = {{DENOUNCER: Detection of Unfairness in Classifiers}},
author = {Li, Jinyang and Moskovitch, Yuval and Jagadish, H. V.},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {2719--2722},
doi = {10.14778/3476311.3476328},
url = {https://doi.org/10.14778/3476311.3476328},
year = {2021}
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