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Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features

29 April 2021

Papers citing "Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features"

33 / 33 papers shown

Title
Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs Haoran Xin Ying Sun Chao Wang Yanke Yu Weijia Zhang Hui Xiong FaML 42 0 0 26 May 2025
Unlearning Algorithmic Biases over Graphs O. Deniz Kose Gonzalo Mateos Yanning Shen MU FaML 144 0 0 20 May 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 251 1 0 28 Jan 2025
Fairness without Demographics through Learning Graph of Gradients Yingtao Luo Zerui Li Qiang Liu Jun Zhu 168 0 0 31 Dec 2024
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior Xuanqian Wang Jing Li Ivor Tsang Yew-Soon Ong 79 1 0 04 Nov 2024
Fair-OBNC: Correcting Label Noise for Fairer Datasets Ines Oliveira e Silva Sérgio Jesus Hugo Ferreira Pedro Saleiro Inês Sousa P. Bizarro Carlos Soares 69 1 0 08 Oct 2024
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks Donald Loveland Danai Koutra 136 2 0 05 Oct 2024
Fairness without Sensitive Attributes via Knowledge Sharing Hongliang Ni Lei Han Tong Chen S. Sadiq Gianluca Demartini 108 4 0 27 Sep 2024
On the Maximal Local Disparity of Fairness-Aware Classifiers Jinqiu Jin Haoxuan Li Fuli Feng 86 3 0 05 Jun 2024
The Impossibility of Fair LLMs Jacy Reese Anthis Kristian Lum Michael Ekstrand Avi Feller Alexander D’Amour FaML 130 14 0 28 May 2024
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach Tianhao Shi Yang Zhang Jizhi Zhang Fuli Feng Xiangnan He 84 0 0 02 May 2024
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality Khadija Zanna Akane Sano FaML 81 1 0 12 Apr 2024
Fairness in Ranking: Robustness through Randomization without the Protected Attribute Andrii Kliachkin Eleni Psaroudaki Jakub Marecek Dimitris Fotakis 66 3 0 28 Mar 2024
Evaluating Fair Feature Selection in Machine Learning for Healthcare Md. Rahat Shahriar Zawad Peter Washington FaML 125 0 0 28 Mar 2024
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers Zeliang Zhang Mingqian Feng Zhiheng Li Chenliang Xu 101 10 0 19 Mar 2024
Distributionally Generative Augmentation for Fair Facial Attribute Classification Fengda Zhang Qianpei He Kun Kuang Jiashuo Liu Long Chen Chao-Xiang Wu Jun Xiao Hanwang Zhang CVBM 67 8 0 11 Mar 2024
Referee-Meta-Learning for Fast Adaptation of Locational Fairness Weiye Chen Yiqun Xie Xiaowei Jia Erhu He Han Bao Bang An Xun Zhou 74 2 0 20 Feb 2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach Jinlong Pang Jialu Wang Zhaowei Zhu Yuanshun Yao Chen Qian Yang Liu TDI 76 5 0 20 Feb 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 186 0 0 20 Feb 2024
Achieve Fairness without Demographics for Dermatological Disease Diagnosis Ching-Hao Chiu Yu-Jen Chen Yawen Wu Yiyu Shi Tsung-Yi Ho 79 6 0 16 Jan 2024
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation Yuchang Zhu Jintang Li Liang Chen Zibin Zheng 105 11 0 29 Nov 2023
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint Junghyun Lee Hanseul Cho Se-Young Yun Chulhee Yun 67 5 0 28 Oct 2023
Fairness Under Demographic Scarce Regime Patrik Kenfack Samira Ebrahimi Kahou Ulrich Aïvodji 52 3 0 24 Jul 2023
Towards Assumption-free Bias Mitigation Chia-Yuan Chang Yu-Neng Chuang Kwei-Herng Lai Xiaotian Han Helen Zhou Na Zou 72 4 0 09 Jul 2023
Improving Fairness in Deepfake Detection Yan Ju Shu Hu Shan Jia George H. Chen Siwei Lyu 134 35 0 29 Jun 2023
Trading-off price for data quality to achieve fair online allocation M. Molina Nicolas Gast Patrick Loiseau Vianney Perchet 58 4 0 23 Jun 2023
Migrate Demographic Group For Fair GNNs Yanming Hu Tianchi Liao Jialong Chen Jing Bian Zibin Zheng Chuan Chen 82 0 0 07 Jun 2023
BeMap: Balanced Message Passing for Fair Graph Neural Network Xiao Lin Jian Kang Weilin Cong Hanghang Tong MoE 104 8 0 07 Jun 2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access A. Veldanda Ivan Brugere Sanghamitra Dutta Alan Mishler S. Garg 78 6 0 02 Feb 2023
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors Beepul Bharti Paul H. Yi Jeremias Sulam 146 5 0 25 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 109 177 0 14 Jul 2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage Yu Wang Yuying Zhao Yushun Dong Huiyuan Chen Jundong Li Hanyu Wang 84 87 0 07 Jun 2022
A Stochastic Optimization Framework for Fair Risk Minimization Andrew Lowy Sina Baharlouei Rakesh Pavan Meisam Razaviyayn Ahmad Beirami FaML 69 21 0 24 Feb 2021