v1v2 (latest)

FairOD: Fairness-aware Outlier Detection

5 December 2020

Papers citing "FairOD: Fairness-aware Outlier Detection"

23 / 23 papers shown

Title
Fairness-aware Anomaly Detection via Fair Projection Feng Xiao Xiaoying Tang Jicong Fan 122 0 0 16 May 2025
Monotonic anomaly detection Oliver Urs Lenz Matthijs van Leeuwen 106 0 0 30 Oct 2024
Fair Anomaly Detection For Imbalanced Groups Ziwei Wu Lecheng Zheng Yuancheng Yu Ruizhong Qiu John Birge Jingrui He FaML 99 6 0 17 Sep 2024
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors Xueying Ding Rui Xi Leman Akoglu FaML 64 0 0 24 Aug 2024
Foundations for Unfairness in Anomaly Detection -- Case Studies in Facial Imaging Data Michael J. Livanos Ian Davidson CVBM 28 1 0 29 Jul 2024
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement Wenjing Chang Kay Liu Philip S. Yu Jianjun Yu 141 2 0 03 Jun 2024
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation Neng Kai Nigel Neo Yeon-Chang Lee Yiqiao Jin Sang-Wook Kim Srijan Kumar 101 4 0 25 Feb 2024
Supervised Algorithmic Fairness in Distribution Shifts: A Survey Minglai Shao Dong Li Chen Zhao Xintao Wu Yujie Lin Qin Tian OOD 113 11 0 02 Feb 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 175 2 0 07 Dec 2023
(Predictable) Performance Bias in Unsupervised Anomaly Detection Felix Meissen Svenja Breuer Moritz Knolle Alena Buyx R. Muller Georgios Kaissis Benedikt Wiestler Daniel Rückert OOD 83 5 0 25 Sep 2023
Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court Decisions Vyoma Raman Catherine Vera CJ Manna 23 3 0 25 May 2023
Achieving Counterfactual Fairness for Anomaly Detection Xiao Han Lu Zhang Yongkai Wu Shuhan Yuan 56 7 0 04 Mar 2023
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges Jing Ren Xiwei Xu Azadeh Noori Hoshyar Charu C. Aggarwal 90 28 0 11 Dec 2022
Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors Niv Cohen Jonathan Kahana Yedid Hoshen 82 4 0 07 Jul 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 125 320 0 19 Jun 2022
Trustworthy Anomaly Detection: A Survey Shuhan Yuan Xintao Wu FaML 161 8 0 15 Feb 2022
Outlier Detection using AI: A Survey Md. Nazmul Kabir Sikder Feras A. Batarseh 111 27 0 01 Dec 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 169 199 0 26 Oct 2021
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 45 21 0 05 Jul 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 145 76 0 10 Jun 2021
Deep Clustering based Fair Outlier Detection Hanyu Song Peizhao Li Hongfu Liu FaML 53 34 0 09 Jun 2021
FiSH: Fair Spatial Hotspots Deepak P Sowmya S. Sundaram 74 1 0 01 Jun 2021
Anomaly Mining -- Past, Present and Future Leman Akoglu OOD AI4TS 77 12 0 21 May 2021