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Achieving non-discrimination in data release

Achieving non-discrimination in data release

22 November 2016
Lu Zhang
Yongkai Wu
Xintao Wu
    FaML
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Papers citing "Achieving non-discrimination in data release"

11 / 11 papers shown
Title
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement
  Learning
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning
Yaowei Hu
Jacob Lear
Lu Zhang
FaML
24
2
0
12 Jan 2024
Disentangled Representation with Causal Constraints for Counterfactual
  Fairness
Disentangled Representation with Causal Constraints for Counterfactual Fairness
Ziqi Xu
Jixue Liu
Debo Cheng
Jiuyong Li
Lin Liu
Ke Wang
FaML
OOD
CML
50
7
0
19 Aug 2022
Causal Discovery for Fairness
Causal Discovery for Fairness
Ruta Binkyt.e-Sadauskien.e
K. Makhlouf
Carlos Pinzón
Sami Zhioua
C. Palamidessi
CML
34
16
0
14 Jun 2022
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games
  on Selective Neurons
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons
Xuanqi Gao
Juan Zhai
Shiqing Ma
Chao Shen
Yufei Chen
Qianqian Wang
34
37
0
06 Apr 2022
Through the Data Management Lens: Experimental Analysis and Evaluation
  of Fair Classification
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
Maliha Tashfia Islam
Anna Fariha
A. Meliou
Babak Salimi
FaML
30
25
0
18 Jan 2021
Exacerbating Algorithmic Bias through Fairness Attacks
Exacerbating Algorithmic Bias through Fairness Attacks
Ninareh Mehrabi
Muhammad Naveed
Fred Morstatter
Aram Galstyan
AAML
30
67
0
16 Dec 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with
  Limited Sensitive Attribute Information
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information
Enyan Dai
Suhang Wang
FaML
16
241
0
03 Sep 2020
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
Yongkai Wu
Lu Zhang
Xintao Wu
Hanghang Tong
FaML
25
115
0
20 Oct 2019
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
349
4,237
0
23 Aug 2019
An exploration of algorithmic discrimination in data and classification
An exploration of algorithmic discrimination in data and classification
Martin Wahl
Jiuyong Li
Feiyue Ye
Lin Liu
T. Le
Ping Xiong
16
1
0
06 Nov 2018
FairGAN: Fairness-aware Generative Adversarial Networks
FairGAN: Fairness-aware Generative Adversarial Networks
Depeng Xu
Shuhan Yuan
Lu Zhang
Xintao Wu
GAN
33
306
0
28 May 2018
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