Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction

30 June 2018

Papers citing "Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction"

35 / 35 papers shown

Title
Balancing the Scales: Reinforcement Learning for Fair Classification Leon Eshuijs Shihan Wang Antske Fokkens FaML 32 0 0 15 Jul 2024
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning Qi Qi Quanqi Hu Qihang Lin Tianbao Yang 47 1 0 09 Jun 2024
Debiased Noise Editing on Foundation Models for Fair Medical Image Classification Ruinan Jin Wenlong Deng Minghui Chen Xiaoxiao Li MedIm 45 1 0 10 Mar 2024
Counterfactual Fairness for Predictions using Generative Adversarial Networks Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 34 2 0 26 Oct 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects Conrad Sanderson David M. Douglas Qinghua Lu 43 12 0 17 Apr 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network Rebecca S Stone Nishant Ravikumar A. Bulpitt David C. Hogg BDL 36 0 0 29 Mar 2023
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias Shangxi Wu Qiuyang He Jitao Sang Jitao Sang 28 1 0 01 Mar 2023
Fairness-aware Regression Robust to Adversarial Attacks Yulu Jin Lifeng Lai FaML OOD 29 4 0 04 Nov 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 40 0 0 12 Oct 2022
Improving Data-Efficient Fossil Segmentation via Model Editing Indu Panigrahi Ryan Manzuk A. Maloof Ruth C. Fong 35 1 0 08 Oct 2022
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning Siyi Du Ben Hers Nourhan Bayasi Ghassan Hamarneh Rafeef Garbi 27 21 0 22 Aug 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 60 11 0 04 Jul 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 38 78 0 06 May 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen R. Pfohl Marzyeh Ghassemi 23 65 0 23 Mar 2022
Robustness and Adaptation to Hidden Factors of Variation William Paul Philippe Burlina 29 0 0 03 Mar 2022
A Fair Pricing Model via Adversarial Learning Vincent Grari Arthur Charpentier Marcin Detyniecki 29 13 0 24 Feb 2022
Bayes-Optimal Classifiers under Group Fairness Xianli Zeng Yan Sun Guang Cheng FaML 21 23 0 20 Feb 2022
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems Avinash Agarwal Harshna Agarwal Nihaarika Agarwal 42 28 0 10 Jan 2022
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 30 36 0 04 Nov 2021
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 22 26 0 25 Oct 2021
Fairness in Missing Data Imputation Yiliang Zhang Q. Long 36 12 0 22 Oct 2021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models Yunhan Zheng Shenhao Wang Jinhuan Zhao HAI 24 27 0 25 Sep 2021
Fairness without the sensitive attribute via Causal Variational Autoencoder Vincent Grari Sylvain Lamprier Marcin Detyniecki 24 27 0 10 Sep 2021
Using Adversarial Debiasing to Remove Bias from Word Embeddings Dana Kenna FaML 27 4 0 21 Jul 2021
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Xia Hu 25 78 0 23 Jun 2021
Towards Equity and Algorithmic Fairness in Student Grade Prediction Weijie Jiang Z. Pardos FaML 33 47 0 14 May 2021
AI Fairness via Domain Adaptation Neil J. Joshi Philippe Burlina 29 15 0 15 Mar 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset Chuizheng Meng Loc Trinh Nan Xu Yan Liu 24 30 0 12 Feb 2021
Algorithmic Fairness Dana Pessach E. Shmueli FaML 33 386 0 21 Jan 2020
Fair Active Learning Hadis Anahideh Abolfazl Asudeh Saravanan Thirumuruganathan FaML 46 51 0 06 Jan 2020
Leveraging Semi-Supervised Learning for Fairness using Neural Networks Vahid Noroozi S. Bahaadini Samira Sheikhi Nooshin Mojab Philip S. Yu 8 7 0 31 Dec 2019
Fair Adversarial Gradient Tree Boosting Vincent Grari Boris Ruf Sylvain Lamprier Marcin Detyniecki FaML 19 33 0 13 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 41 6,119 0 22 Oct 2019
Measuring Unfairness through Game-Theoretic Interpretability Juliana Cesaro Fabio Gagliardi Cozman FAtt 11 13 0 12 Oct 2019
A statistical framework for fair predictive algorithms K. Lum J. Johndrow FaML 177 105 0 25 Oct 2016