Mitigating Unwanted Biases with Adversarial Learning

22 January 2018

Papers citing "Mitigating Unwanted Biases with Adversarial Learning"

50 / 247 papers shown

Title
Fairness-aware Anomaly Detection via Fair Projection Feng Xiao Xiaoying Tang Jicong Fan 16 0 0 16 May 2025
Towards Fair In-Context Learning with Tabular Foundation Models Patrik Kenfack Samira Ebrahimi Kahou Ulrich Aïvodji 19 0 0 14 May 2025
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 32 1 0 09 May 2025
Causally Fair Node Classification on Non-IID Graph Data Yucong Dai Lu Zhang Yaowei Hu Susan Gauch Yongkai Wu FaML 50 0 0 03 May 2025
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning Yifan Liu Ruichen Yao Y. Liu Ruohan Zong Zehan Li Yang Zhang Dong Wang CVBM 61 0 0 03 May 2025
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching Kewen Peng Yicheng Yang Hao Zhuo 32 0 0 23 Apr 2025
Statistically Testing Training Data for Unwanted Error Patterns using Rule-Oriented Regression Stefan Rass Martin Dallinger 54 0 0 24 Mar 2025
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Zou Linjun Zhang FaML 98 4 0 13 Mar 2025
Fair Text Classification via Transferable Representations Thibaud Leteno Michael Perrot Charlotte Laclau Antoine Gourru Christophe Gravier FaML 88 0 0 10 Mar 2025
Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps Lukasz Sztukiewicz Ignacy Stepka Michał Wiliński Jerzy Stefanowski 44 0 0 28 Feb 2025
Differential Adjusted Parity for Learning Fair Representations Bucher Sahyouni Matthew Vowels Liqun Chen Simon Hadfield FaML 107 0 0 13 Feb 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 80 0 0 28 Jan 2025
Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management Xiahua Wei Naveen Kumar Han Zhang 68 5 0 22 Jan 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Yining She Sumon Biswas Christian Kastner Eunsuk Kang 45 0 0 03 Jan 2025
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data Adam Wang Son Nguyen A. Montillo FedML 41 0 0 31 Dec 2024
Second-Order Min-Max Optimization with Lazy Hessians Lesi Chen Chengchang Liu Jingzhao Zhang 46 1 0 12 Oct 2024
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 53 0 0 31 Aug 2024
Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation Riccardo Cantini Giada Cosenza A. Orsino Domenico Talia AAML 62 5 0 11 Jul 2024
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement Bhagyashree Puranik Ozgur Guldogan Upamanyu Madhow Ramtin Pedarsani 33 0 0 10 Jul 2024
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning Qi Qi Quanqi Hu Qihang Lin Tianbao Yang 45 1 0 09 Jun 2024
Resource-constrained Fairness Sofie Goethals Eoin Delaney Brent Mittelstadt Christopher Russell FaML 86 1 0 03 Jun 2024
Mitigating Bias Using Model-Agnostic Data Attribution Sander De Coninck Wei-Cheng Wang Sam Leroux Pieter Simoens 34 1 0 08 May 2024
Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them? Shayne Longpre Robert Mahari Naana Obeng-Marnu William Brannon Tobin South Katy Gero Sandy Pentland Jad Kabbara 66 5 0 19 Apr 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 35 4 0 13 Apr 2024
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models Zeyu Yang Peikun Guo Khadija Zanna Akane Sano Xiaoxue Yang Akane Sano DiffM 34 8 0 12 Apr 2024
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion Mary M. Lucas Xiaoyang Wang Chia-Hsuan Chang Christopher C. Yang Jacqueline E. Braughton Quyen M. Ngo FaML 45 2 0 04 Apr 2024
Procedural Fairness in Machine Learning Ziming Wang Changwu Huang Xin Yao FaML 50 0 0 02 Apr 2024
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting Camille Olivia Little Genevera I. Allen 30 0 0 01 Apr 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 36 8 0 26 Mar 2024
A Decade's Battle on Dataset Bias: Are We There Yet? Zhuang Liu Kaiming He 44 28 0 13 Mar 2024
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms Haoyu Lei Amin Gohari Farzan Farnia FaML 35 1 0 28 Feb 2024
A Closer Look at AUROC and AUPRC under Class Imbalance Matthew B. A. McDermott Lasse Hyldig Hansen Haoran Zhang Giovanni Angelotti Jack Gallifant 39 30 0 11 Jan 2024
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning Syed Irfan Ali Meerza Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML 31 2 0 07 Jan 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models Yueqing Liang Lu Cheng Ali Payani Kai Shu 28 3 0 15 Nov 2023
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 37 1 0 10 Nov 2023
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs Debolina Halder Lina Arlei Silva 26 0 0 02 Nov 2023
Counterfactual Fairness for Predictions using Generative Adversarial Networks Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 34 2 0 26 Oct 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs Xiaotian Han Kaixiong Zhou Ting-Hsiang Wang Jundong Li Fei Wang Na Zou 29 0 0 23 Oct 2023
Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model Abhijith Chintam Rahel Beloch Willem H. Zuidema Michael Hanna Oskar van der Wal 28 16 0 19 Oct 2023
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling Yan Luo Muhammad Osama Khan Yu Tian Minfei Shi Zehao Dou T. Elze Yi Fang Mengyu Wang 12 7 0 03 Oct 2023
AI-based association analysis for medical imaging using latent-space geometric confounder correction Xianjing Liu Bo-wen Li Meike W. Vernooij E. Wolvius Gennady V. Roshchupkin Esther E. Bron MedIm 29 0 0 03 Oct 2023
Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D) Yu Huang Jingchuan Guo W. Donahoo Zhengkang Fan Ying Lu Wei-Han Chen Huilin Tang Lori Bilello E. Shenkman Jiang Bian 26 0 0 05 Sep 2023
Augmenting Chest X-ray Datasets with Non-Expert Annotations Cathrine Damgaard Trine Eriksen Dovile Juodelyte V. Cheplygina Amelia Jiménez-Sánchez 39 3 0 05 Sep 2023
LEACE: Perfect linear concept erasure in closed form Nora Belrose David Schneider-Joseph Shauli Ravfogel Ryan Cotterell Edward Raff Stella Biderman KELM MU 41 102 0 06 Jun 2023
DeepBern-Nets: Taming the Complexity of Certifying Neural Networks using Bernstein Polynomial Activations and Precise Bound Propagation Haitham Khedr Yasser Shoukry 47 5 0 22 May 2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness Zhenlan Ji Pingchuan Ma Shuai Wang Yanhui Li FaML 34 7 0 22 May 2023
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection Shadi Iskander Kira Radinsky Yonatan Belinkov 38 17 0 17 May 2023
Zero-shot racially balanced dataset generation using an existing biased StyleGAN2 Anubhav Jain Nasir D. Memon Julian Togelius 25 8 0 12 May 2023
A statistical approach to detect sensitive features in a group fairness setting G. D. Pelegrina Miguel Couceiro L. Duarte 16 3 0 11 May 2023