Achieving non-discrimination in data release

22 November 2016

Papers citing "Achieving non-discrimination in data release"

20 / 20 papers shown

Title
A Causal Lens for Learning Long-term Fair Policies Jacob Lear Lu Zhang FaML 29 0 0 12 Jun 2025
The Flawed Foundations of Fair Machine Learning R. Poe Soumia Zohra El Mestari FaML 66 1 0 02 Jun 2023
Disentangled Representation with Causal Constraints for Counterfactual Fairness Ziqi Xu Jixue Liu Debo Cheng Jiuyong Li Lin Liu Ke Wang FaML OOD CML 155 7 0 19 Aug 2022
Learning Counterfactually Invariant Predictors Francesco Quinzan Cecilia Casolo Krikamol Muandet Yucen Luo Niki Kilbertus 118 10 0 20 Jul 2022
Causal Discovery for Fairness Ruta Binkyt.e-Sadauskien.e K. Makhlouf Carlos Pinzón Sami Zhioua C. Palamidessi CML 78 18 0 14 Jun 2022
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons Xuanqi Gao Juan Zhai Shiqing Ma Chao Shen Yufei Chen Qianqian Wang 86 40 0 06 Apr 2022
Learning Fair Models without Sensitive Attributes: A Generative Approach Huaisheng Zhu Suhang Wang FaML 76 10 0 30 Mar 2022
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features Tianxiang Zhao Enyan Dai Kai Shu Suhang Wang FaML 74 58 0 29 Apr 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 93 26 0 18 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 321 500 0 31 Dec 2020
Exacerbating Algorithmic Bias through Fairness Attacks Ninareh Mehrabi Muhammad Naveed Fred Morstatter Aram Galstyan AAML 91 69 0 16 Dec 2020
Survey on Causal-based Machine Learning Fairness Notions K. Makhlouf Sami Zhioua C. Palamidessi FaML 151 85 0 19 Oct 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 124 248 0 03 Sep 2020
Visual Analysis of Discrimination in Machine Learning Qianwen Wang Zhen Xu Zhutian Chen Yong Wang Shixia Liu Huamin Qu FaML 51 39 0 30 Jul 2020
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness Yongkai Wu Lu Zhang Xintao Wu Hanghang Tong FaML 125 118 0 20 Oct 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 603 4,424 0 23 Aug 2019
An exploration of algorithmic discrimination in data and classification Martin Wahl Jiuyong Li Feiyue Ye Lin Liu T. Le Ping Xiong 59 1 0 06 Nov 2018
FairGAN: Fairness-aware Generative Adversarial Networks Depeng Xu Shuhan Yuan Lu Zhang Xintao Wu GAN 134 315 0 28 May 2018
On Discrimination Discovery and Removal in Ranked Data using Causal Graph Yongkai Wu Lu Zhang Xintao Wu FaML CML 43 47 0 05 Mar 2018
Achieving non-discrimination in prediction Lu Zhang Yongkai Wu Xintao Wu FaML 63 32 0 28 Feb 2017