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Mitigating Face Recognition Bias via Group Adaptive Classifier

Mitigating Face Recognition Bias via Group Adaptive Classifier

13 June 2020
Sixue Gong
Xiaoming Liu
Anil K. Jain
    CVBM
    FaML
ArXivPDFHTML

Papers citing "Mitigating Face Recognition Bias via Group Adaptive Classifier"

28 / 28 papers shown
Title
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
Huan Tian
Guangsheng Zhang
Bo Liu
Tianqing Zhu
Ming Ding
Wanlei Zhou
53
0
0
08 Mar 2025
FRoundation: Are Foundation Models Ready for Face Recognition?
FRoundation: Are Foundation Models Ready for Face Recognition?
Tahar Chettaoui
Naser Damer
Fadi Boutros
CVBM
41
5
0
31 Oct 2024
A large-scale study of performance and equity of commercial remote
  identity verification technologies across demographics
A large-scale study of performance and equity of commercial remote identity verification technologies across demographics
Kaniz Fatima
M. Schuckers
Gerardo Cruz-Ortiz
Daqing Hou
Sandip Purnapatra
Tiffany Andrews
Ambuj Neupane
Brandeis Marshall
Stephanie Schuckers
28
1
0
18 Sep 2024
Zero-shot racially balanced dataset generation using an existing biased
  StyleGAN2
Zero-shot racially balanced dataset generation using an existing biased StyleGAN2
Anubhav Jain
Nasir D. Memon
Julian Togelius
25
8
0
12 May 2023
Racial Bias within Face Recognition: A Survey
Racial Bias within Face Recognition: A Survey
Seyma Yucer
Furkan Tektas
Noura Al Moubayed
T. Breckon
FaML
38
10
0
01 May 2023
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma
Daniel DeAlcala
Ignacio Serna
Aythami Morales
Julian Fierrez
J. Ortega-Garcia
26
6
0
26 Apr 2023
Gradient Attention Balance Network: Mitigating Face Recognition Racial
  Bias via Gradient Attention
Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention
Linzhi Huang
Mei Wang
Jiahao Liang
Weihong Deng
Hongzhi Shi
Dongchao Wen
Yingjie Zhang
Jian Zhao
CVBM
37
7
0
05 Apr 2023
The Impact of Racial Distribution in Training Data on Face Recognition
  Bias: A Closer Look
The Impact of Racial Distribution in Training Data on Face Recognition Bias: A Closer Look
Manideep Kolla
Aravinth Savadamuthu
CVBM
32
11
0
26 Nov 2022
A Differentiable Distance Approximation for Fairer Image Classification
A Differentiable Distance Approximation for Fairer Image Classification
Nicholas Rosa
Tom Drummond
Mehrtash Harandi
26
0
0
09 Oct 2022
CAT: Controllable Attribute Translation for Fair Facial Attribute
  Classification
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification
Jiazhi Li
Wael AbdAlmageed
CVBM
29
8
0
14 Sep 2022
Explaining Bias in Deep Face Recognition via Image Characteristics
Explaining Bias in Deep Face Recognition via Image Characteristics
Andrea Atzori
Gianni Fenu
Mirko Marras
FaML
CVBM
33
11
0
23 Aug 2022
Does lossy image compression affect racial bias within face recognition?
Does lossy image compression affect racial bias within face recognition?
Seyma Yucer
Matt Poyser
Noura Al Moubayed
T. Breckon
CVBM
40
4
0
16 Aug 2022
VisCUIT: Visual Auditor for Bias in CNN Image Classifier
VisCUIT: Visual Auditor for Bias in CNN Image Classifier
Seongmin Lee
Zijie J. Wang
Judy Hoffman
Duen Horng Chau
24
11
0
12 Apr 2022
Anatomizing Bias in Facial Analysis
Anatomizing Bias in Facial Analysis
Richa Singh
P. Majumdar
S. Mittal
Mayank Vatsa
CVBM
33
23
0
13 Dec 2021
Investigating Fairness of Ocular Biometrics Among Young, Middle-Aged,
  and Older Adults
Investigating Fairness of Ocular Biometrics Among Young, Middle-Aged, and Older Adults
Anoop Krishnan
Ali Almadan
A. Rattani
CVBM
30
5
0
04 Oct 2021
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
119
356
0
04 Oct 2021
Efficient Algorithms For Fair Clustering with a New Fairness Notion
Efficient Algorithms For Fair Clustering with a New Fairness Notion
Shivam Gupta
Ganesh Ghalme
N. C. Krishnan
Shweta Jain
FaML
65
8
0
02 Sep 2021
Learning Fair Face Representation With Progressive Cross Transformer
Learning Fair Face Representation With Progressive Cross Transformer
Yong Li
Yufei Sun
Zhen Cui
Shiguang Shan
Jian Yang
27
11
0
11 Aug 2021
Fairness for Image Generation with Uncertain Sensitive Attributes
Fairness for Image Generation with Uncertain Sensitive Attributes
A. Jalal
Sushrut Karmalkar
Jessica Hoffmann
A. Dimakis
Eric Price
DiffM
35
39
0
23 Jun 2021
Consistent Instance False Positive Improves Fairness in Face Recognition
Consistent Instance False Positive Improves Fairness in Face Recognition
Xingkun Xu
Yuge Huang
Pengcheng Shen
Shaoxin Li
Jilin Li
Feiyue Huang
Yong Li
Zhen Cui
14
57
0
10 Jun 2021
FairCal: Fairness Calibration for Face Verification
FairCal: Fairness Calibration for Face Verification
Tiago Salvador
Stephanie Cairns
Vikram S. Voleti
Noah Marshall
Adam M. Oberman
FaML
30
19
0
07 Jun 2021
PSCC-Net: Progressive Spatio-Channel Correlation Network for Image
  Manipulation Detection and Localization
PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization
Xiaohong Liu
Yao-Kai Liu
Jun Chen
Xiaoming Liu
24
187
0
19 Mar 2021
Balancing Biases and Preserving Privacy on Balanced Faces in the Wild
Balancing Biases and Preserving Privacy on Balanced Faces in the Wild
Joseph P. Robinson
Can Qin
Yann Henon
Samson Timoner
Y. Fu
32
25
0
16 Mar 2021
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face
  Recognition
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition
Zheng Zhu
Guan Huang
Jiankang Deng
Yun Ye
Junjie Huang
...
Jiagang Zhu
Tian Yang
Jiwen Lu
Dalong Du
Jie Zhou
CVBM
35
249
0
06 Mar 2021
Investigating Bias and Fairness in Facial Expression Recognition
Investigating Bias and Fairness in Facial Expression Recognition
Tian Xu
J. White
Sinan Kalkan
Hatice Gunes
CVBM
29
157
0
20 Jul 2020
SensitiveLoss: Improving Accuracy and Fairness of Face Representations
  with Discrimination-Aware Deep Learning
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning
Ignacio Serna
Aythami Morales
Julian Fierrez
Manuel Cebrian
Nick Obradovich
Iyad Rahwan
FaML
CVBM
30
73
0
22 Apr 2020
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
204
631
0
17 Oct 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
675
0
17 Feb 2018
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