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Deep Clustering based Fair Outlier Detection

Deep Clustering based Fair Outlier Detection

9 June 2021
Hanyu Song
Peizhao Li
Hongfu Liu
    FaML
ArXivPDFHTML

Papers citing "Deep Clustering based Fair Outlier Detection"

7 / 7 papers shown
Title
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Wenjing Chang
Kay Liu
Philip S. Yu
Jianjun Yu
57
2
0
03 Jun 2024
Fairness in Visual Clustering: A Novel Transformer Clustering Approach
Fairness in Visual Clustering: A Novel Transformer Clustering Approach
Xuan-Bac Nguyen
C. Duong
Marios Savvides
Kaushik Roy
Hugh Churchill
Khoa Luu
37
9
0
14 Apr 2023
Learning Antidote Data to Individual Unfairness
Learning Antidote Data to Individual Unfairness
Peizhao Li
Ethan Xia
Hongfu Liu
FedML
FaML
19
9
0
29 Nov 2022
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
Anshuman Chhabra
Peizhao Li
P. Mohapatra
Hongfu Liu
OOD
26
22
0
04 Oct 2022
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection Benchmark
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
41
296
0
19 Jun 2022
Efficient Algorithms For Fair Clustering with a New Fairness Notion
Efficient Algorithms For Fair Clustering with a New Fairness Notion
Shivam Gupta
Ganesh Ghalme
N. C. Krishnan
Shweta Jain
FaML
62
8
0
02 Sep 2021
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
674
0
17 Feb 2018
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