Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline

2 June 2021

Papers citing "Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline"

48 / 48 papers shown

Title
Data Requirement Goal Modeling for Machine Learning Systems Asma Z. Yamani Nadeen AlAmoudi Salma Albilali Malak Baslyman Jameleddine Hassine AI4TS 24 0 0 10 Apr 2025
Attention Pruning: Automated Fairness Repair of Language Models via Surrogate Simulated Annealing Vishnu Asutosh Dasu Md. Rafi Ur Rashid Vipul Gupta Saeid Tizpaz-Niari Gang Tan AAML 54 0 0 20 Mar 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Yining She Sumon Biswas Christian Kastner Eunsuk Kang 50 0 0 03 Jan 2025
Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative? Gianmario Voria Rebecca Di Matteo Giammaria Giordano Gemma Catolino Fabio Palomba 79 0 0 20 Dec 2024
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software Zhenpeng Chen Xinyue Li Jingyang Zhang Federica Sarro Yang Liu FaML 88 2 0 11 Dec 2024
Data Acquisition for Improving Model Fairness using Reinforcement Learning Jahid Hasan Romila Pradhan 57 0 0 04 Dec 2024
Debiasify: Self-Distillation for Unsupervised Bias Mitigation Nourhan Bayasi Jamil Fayyad Ghassan Hamarneh Rafeef Garbi Homayoun Najjaran 35 0 0 01 Nov 2024
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications Nga Pham Minh Kha Do Tran Vu Dai Pham Ngoc Hung Anh Nguyen-Duc 31 0 0 08 Oct 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 39 3 0 29 Aug 2024
NeuFair: Neural Network Fairness Repair with Dropout Vishnu Asutosh Dasu Ashish Kumar Saeid Tizpaz-Niari Gang Tan 36 3 0 05 Jul 2024
On the Maximal Local Disparity of Fairness-Aware Classifiers Jinqiu Jin Haoxuan Li Fuli Feng 50 3 0 05 Jun 2024
Building Socially-Equitable Public Models Yejia Liu Jianyi Yang Pengfei Li Tongxin Li Shaolei Ren OffRL 46 0 0 04 Jun 2024
Who's in and who's out? A case study of multimodal CLIP-filtering in DataComp Rachel Hong William Agnew Tadayoshi Kohno Jamie Morgenstern 27 9 0 13 May 2024
Predicting Fairness of ML Software Configurations Salvador Robles Herrera Verya Monjezi V. Kreinovich Ashutosh Trivedi Saeid Tizpaz-Niari 37 1 0 29 Apr 2024
Towards Socially and Environmentally Responsible AI Pengfei Li Yejia Liu Jianyi Yang Shaolei Ren 34 0 0 23 Apr 2024
Evaluating Fair Feature Selection in Machine Learning for Healthcare Md. Rahat Shahriar Zawad Peter Washington FaML 23 0 0 28 Mar 2024
Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment Shibbir Ahmed Hongyang Gao Hridesh Rajan 31 2 0 26 Jan 2024
Data vs. Model Machine Learning Fairness Testing: An Empirical Study Arumoy Shome Luís Cruz Arie van Deursen 44 3 0 15 Jan 2024
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models Junjie Yang Jiajun Jiang Zeyu Sun Junjie Chen 29 2 0 08 Jan 2024
Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance Sheng Zhang Hui Li Yanlin Wang Zhao Wei Yong Xiu Juhong Wang Rongong Ji 24 2 0 25 Nov 2023
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint Junghyun Lee Hanseul Cho Se-Young Yun Chulhee Yun 38 5 0 28 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 35 14 0 29 Sep 2023
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond Filippo Galli Kangsoo Jung Sayan Biswas C. Palamidessi Tommaso Cucinotta FedML 31 10 0 01 Sep 2023
Bias Behind the Wheel: Fairness Analysis of Autonomous Driving Systems Xinyue Li Zhenpeng Chen Jie M. Zhang Federica Sarro Wenjie Qu Xuanzhe Liu 14 4 0 05 Aug 2023
Fairness Improvement with Multiple Protected Attributes: How Far Are We? Zhenpeng Chen Jie M. Zhang Federica Sarro Mark Harman FaML 38 4 0 25 Jul 2023
Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework Simiao Zhang Jitao Bai Menghong Guan Yihao Huang Yueling Zhang Jun Sun G. Pu FaML 32 1 0 21 Jul 2023
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML Giang Nguyen Sumon Biswas Hridesh Rajan FaML 43 13 0 15 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 45 39 0 14 Jun 2023
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness Edward A. Small Kacper Sokol Daniel Manning Flora D. Salim Jeffrey Chan FaML 24 6 0 19 Apr 2023
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking Zichong Wang Yangze Zhou M. Qiu I. Haque Laura Brown Yi He Jianwu Wang David Lo Wenbin Zhang FaML 28 24 0 16 Feb 2023
On Comparing Fair Classifiers under Data Bias Mohit Sharma Amit Deshpande R. Shah 29 2 0 12 Feb 2023
Fairify: Fairness Verification of Neural Networks Sumon Biswas Hridesh Rajan 27 24 0 08 Dec 2022
Towards Understanding Fairness and its Composition in Ensemble Machine Learning Usman Gohar Sumon Biswas Hridesh Rajan FaML FedML 13 24 0 08 Dec 2022
Navigating Ensemble Configurations for Algorithmic Fairness Michael Feffer Martin Hirzel Samuel C. Hoffman Kiran Kate Parikshit Ram Avraham Shinnar FedML FaML 24 0 0 11 Oct 2022
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances Minghua Ma Zhao Tian Max Hort Federica Sarro Hongyu Zhang Qingwei Lin Dongmei Zhang 20 5 0 17 Sep 2022
Fair learning with Wasserstein barycenters for non-decomposable performance measures Solenne Gaucher Nicolas Schreuder Evgenii Chzhen 27 15 0 01 Sep 2022
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies E. Small Wei Shao Zeliang Zhang Peihan Liu Jeffrey Chan Kacper Sokol Flora D. Salim 60 2 0 11 Jul 2022
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers Zhenpeng Chen Jie M. Zhang Federica Sarro Mark Harman FaML 24 67 0 07 Jul 2022
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions Bhavya Ghai Mihir A. Mishra Klaus Mueller 27 7 0 08 Feb 2022
An Empirical Study of Modular Bias Mitigators and Ensembles Michael Feffer Martin Hirzel Samuel C. Hoffman Kiran Kate Parikshit Ram Avraham Shinnar 38 8 0 01 Feb 2022
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification Haibin Zheng Zhiqing Chen Tianyu Du Xuhong Zhang Yao Cheng S. Ji Jingyi Wang Yue Yu Jinyin Chen 24 51 0 25 Dec 2021
DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs Mohammad Wardat Breno Dantas Cruz Wei Le Hridesh Rajan 30 52 0 07 Dec 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 30 36 0 04 Nov 2021
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules Rangeet Pan Hridesh Rajan MoMe 16 30 0 11 Oct 2021
FairBalance: How to Achieve Equalized Odds With Data Pre-processing Zhe Yu Joymallya Chakraborty Tim Menzies FaML 49 3 0 17 Jul 2021
Astraea: Grammar-based Fairness Testing E. Soremekun Sakshi Udeshi Sudipta Chattopadhyay 26 27 0 06 Oct 2020
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 195 742 0 13 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,091 0 24 Oct 2016