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FairOD: Fairness-aware Outlier Detection
v1v2 (latest)

FairOD: Fairness-aware Outlier Detection

AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020
5 December 2020
Shubhranshu Shekhar
Neil Shah
Leman Akoglu
ArXiv (abs)PDFHTML

Papers citing "FairOD: Fairness-aware Outlier Detection"

23 / 23 papers shown
Fairness-aware Anomaly Detection via Fair Projection
Fairness-aware Anomaly Detection via Fair Projection
Feng Xiao
Xiaoying Tang
Jicong Fan
327
1
0
16 May 2025
Monotonic anomaly detection
Monotonic anomaly detection
Oliver Urs Lenz
Matthijs van Leeuwen
215
0
0
30 Oct 2024
Fair Anomaly Detection For Imbalanced Groups
Fair Anomaly Detection For Imbalanced Groups
Ziwei Wu
Lecheng Zheng
Yuancheng Yu
Ruizhong Qiu
John Birge
Jingrui He
FaML
285
12
0
17 Sep 2024
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias
  through Data-centric Factors
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric FactorsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
Xueying Ding
Rui Xi
Leman Akoglu
FaML
245
5
0
24 Aug 2024
Foundations for Unfairness in Anomaly Detection -- Case Studies in
  Facial Imaging Data
Foundations for Unfairness in Anomaly Detection -- Case Studies in Facial Imaging DataAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
Michael J. Livanos
Ian Davidson
CVBM
157
1
0
29 Jul 2024
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
543
4
0
03 Jun 2024
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and
  Evaluation
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation
Neng Kai Nigel Neo
Yeon-Chang Lee
Yiqiao Jin
Sang-Wook Kim
Srijan Kumar
334
4
0
25 Feb 2024
Supervised Algorithmic Fairness in Distribution Shifts: A Survey
Supervised Algorithmic Fairness in Distribution Shifts: A Survey
Minglai Shao
Dong Li
Chen Zhao
Xintao Wu
Yujie Lin
Qin Tian
OOD
514
25
0
02 Feb 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks
SoK: Unintended Interactions among Machine Learning Defenses and Risks
Vasisht Duddu
S. Szyller
Nadarajah Asokan
AAML
417
6
0
07 Dec 2023
(Predictable) Performance Bias in Unsupervised Anomaly Detection
(Predictable) Performance Bias in Unsupervised Anomaly DetectionEBioMedicine (EBioMedicine), 2023
Felix Meissen
Svenja Breuer
Moritz Knolle
Alena Buyx
R. Muller
Georgios Kaissis
Benedikt Wiestler
Daniel Rückert
OOD
255
8
0
25 Sep 2023
Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine
  Learning Analysis of Extraneous Factors in Immigration Court Decisions
Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court DecisionsConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2022
Vyoma Raman
Catherine Vera
CJ Manna
71
4
0
25 May 2023
Achieving Counterfactual Fairness for Anomaly Detection
Achieving Counterfactual Fairness for Anomaly DetectionPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023
Xiao Han
Lu Zhang
Yongkai Wu
Shuhan Yuan
212
8
0
04 Mar 2023
Graph Learning for Anomaly Analytics: Algorithms, Applications, and
  Challenges
Graph Learning for Anomaly Analytics: Algorithms, Applications, and ChallengesACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Jing Ren
Xiwei Xu
Azadeh Noori Hoshyar
Charu C. Aggarwal
207
37
0
11 Dec 2022
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors
Niv Cohen
Jonathan Kahana
Yedid Hoshen
269
4
0
07 Jul 2022
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection BenchmarkNeural Information Processing Systems (NeurIPS), 2022
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
432
416
0
19 Jun 2022
Trustworthy Anomaly Detection: A Survey
Trustworthy Anomaly Detection: A Survey
Shuhan Yuan
Xintao Wu
FaML
397
10
0
15 Feb 2022
Outlier Detection using AI: A Survey
Outlier Detection using AI: A Survey
Md. Nazmul Kabir Sikder
Feras A. Batarseh
278
34
0
01 Dec 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution
  Detection: Solutions and Future Challenges
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
Mohammadreza Salehi
Hossein Mirzaei
Dan Hendrycks
Shouqing Yang
M. Rohban
Mohammad Sabokrou
OOD
741
234
0
26 Oct 2021
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda
Niek Tax
Kees Jan de Vries
Mathijs de Jong
Nikoleta Dosoula
Bram van den Akker
Jon Smith
Olivier Thuong
Lucas Bernardi
137
25
0
05 Jul 2021
Automated Self-Supervised Learning for Graphs
Automated Self-Supervised Learning for GraphsInternational Conference on Learning Representations (ICLR), 2021
Wei Jin
Xiaorui Liu
Xiangyu Zhao
Yao Ma
Neil Shah
Shucheng Zhou
SSL
448
95
0
10 Jun 2021
Deep Clustering based Fair Outlier Detection
Deep Clustering based Fair Outlier DetectionKnowledge Discovery and Data Mining (KDD), 2021
Hanyu Song
Peizhao Li
Hongfu Liu
FaML
252
37
0
09 Jun 2021
FiSH: Fair Spatial Hotspots
FiSH: Fair Spatial HotspotsData mining and knowledge discovery (DMKD), 2021
Deepak P
Sowmya S. Sundaram
288
1
0
01 Jun 2021
Anomaly Mining -- Past, Present and Future
Anomaly Mining -- Past, Present and FutureInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Leman Akoglu
OODAI4TS
210
12
0
21 May 2021
1
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