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Achieving Counterfactual Fairness for Anomaly Detection

Achieving Counterfactual Fairness for Anomaly Detection

4 March 2023
Xiao Han
Lu Zhang
Yongkai Wu
Shuhan Yuan
ArXiv (abs)PDFHTML

Papers citing "Achieving Counterfactual Fairness for Anomaly Detection"

7 / 7 papers shown
Title
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
115
303
0
03 Mar 2021
Towards Fair Deep Anomaly Detection
Towards Fair Deep Anomaly Detection
Hongjing Zhang
Ian Davidson
FaML
107
40
0
29 Dec 2020
FairOD: Fairness-aware Outlier Detection
FairOD: Fairness-aware Outlier Detection
Shubhranshu Shekhar
Neil Shah
Leman Akoglu
68
37
0
05 Dec 2020
Fair Outlier Detection
Fair Outlier Detection
D. P.
Savitha Sam Abraham
FaML
93
18
0
20 May 2020
A Graph Autoencoder Approach to Causal Structure Learning
A Graph Autoencoder Approach to Causal Structure Learning
Ignavier Ng
Shengyu Zhu
Zhitang Chen
Zhuangyan Fang
BDLCML
57
83
0
18 Nov 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
382
684
0
17 Feb 2018
Avoiding Discrimination through Causal Reasoning
Avoiding Discrimination through Causal Reasoning
Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
FaMLCML
115
584
0
08 Jun 2017
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