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Privacy for Fairness: Information Obfuscation for Fair Representation
  Learning with Local Differential Privacy

Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy

16 February 2024
Songjie Xie
Youlong Wu
Jiaxuan Li
Ming Ding
Khaled B. Letaief
    AAML
ArXivPDFHTML

Papers citing "Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy"

5 / 5 papers shown
Title
Robust Information Bottleneck for Task-Oriented Communication with
  Digital Modulation
Robust Information Bottleneck for Task-Oriented Communication with Digital Modulation
Songjie Xie
Shuaijie Ma
Ming Ding
Yuanming Shi
Ming-Fu Tang
Youlong Wu
33
70
0
21 Sep 2022
Fairness without Imputation: A Decision Tree Approach for Fair
  Prediction with Missing Values
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values
Haewon Jeong
Hao Wang
Flavio du Pin Calmon
FaML
49
33
0
21 Sep 2021
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
294
4,187
0
23 Aug 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
213
669
0
17 Feb 2018
Privacy Against Statistical Inference
Privacy Against Statistical Inference
Flavio du Pin Calmon
N. Fawaz
FedML
85
345
0
08 Oct 2012
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