FairNeuron: Improving Deep Neural Network Fairness with Adversary Games
on Selective Neurons

FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons

6 April 2022

Chao Shen

Papers citing "FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons"

16 / 16 papers shown

Title
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 49 0 0 20 Mar 2025
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software Zhenpeng Chen Xinyue Li J. Zhang Federica Sarro Yang Liu FaML 75 2 0 11 Dec 2024
FairQuant: Certifying and Quantifying Fairness of Deep Neural Networks Brian Hyeongseok Kim Jingbo Wang Chao Wang 28 1 0 05 Sep 2024
Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation Md Fahim Sikder R. Ramachandranpillai Daniel de Leng Fredrik Heintz 38 2 0 20 Aug 2024
NeuFair: Neural Network Fairness Repair with Dropout Vishnu Asutosh Dasu Ashish Kumar Saeid Tizpaz-Niari Gang Tan 26 3 0 05 Jul 2024
Efficient DNN-Powered Software with Fair Sparse Models Xuanqi Gao Weipeng Jiang Juan Zhai Shiqing Ma Xiaoyu Zhang Chao Shen 39 0 0 03 Jul 2024
Memorization in deep learning: A survey Jiaheng Wei Yanjun Zhang Leo Yu Zhang Ming Ding Chao Chen Kok-Leong Ong Jun Zhang Yang Xiang 42 6 0 06 Jun 2024
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 16 1 0 21 Jul 2023
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML Giang Nguyen Sumon Biswas Hridesh Rajan FaML 38 13 0 15 Jun 2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness Zhenlan Ji Pingchuan Ma Shuai Wang Yanhui Li FaML 31 7 0 22 May 2023
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training Refinement Xuan Gao Juan Zhai Shiqing Ma Chao Shen Yufei Chen Shiwei Wang 10 2 0 09 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 23 23 0 16 Feb 2023
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 31 159 0 14 Jul 2022
FairBalance: How to Achieve Equalized Odds With Data Pre-processing Zhe Yu Joymallya Chakraborty Tim Menzies FaML 41 3 0 17 Jul 2021
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 19 614 0 04 Oct 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016