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Demographic Bias in Biometrics: A Survey on an Emerging Challenge

Demographic Bias in Biometrics: A Survey on an Emerging Challenge

5 March 2020
P. Drozdowski
Christian Rathgeb
A. Dantcheva
N. Damer
C. Busch
    FaML
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Papers citing "Demographic Bias in Biometrics: A Survey on an Emerging Challenge"

37 / 37 papers shown
Title
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
18
1
0
18 Sep 2024
Comprehensive Equity Index (CEI): Definition and Application to Bias
  Evaluation in Biometrics
Comprehensive Equity Index (CEI): Definition and Application to Bias Evaluation in Biometrics
Imanol Solano
Alejandro Peña
Aythami Morales
Julian Fierrez
Ruben Tolosana
F. Zamora-Martínez
Javier San Agustin
40
1
0
03 Sep 2024
Fairness Index Measures to Evaluate Bias in Biometric Recognition
Fairness Index Measures to Evaluate Bias in Biometric Recognition
Ketan Kotwal
S´ebastien Marcel
32
8
0
19 Jun 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
19
6
0
26 Apr 2023
What Should Be Balanced in a "Balanced" Face Recognition Dataset?
What Should Be Balanced in a "Balanced" Face Recognition Dataset?
Haiyu Wu
Kevin W. Bowyer
CVBM
19
11
0
17 Apr 2023
Bias mitigation techniques in image classification: fair machine
  learning in human heritage collections
Bias mitigation techniques in image classification: fair machine learning in human heritage collections
Dalia Ortiz Pablo
Sushruth Badri
Erik Norén
Christoph Nötzli
33
1
0
20 Mar 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Alfonso Ortega
Ainhoa Herrarte
Manuel Alcántara
J. Ortega-Garcia
FaML
23
34
0
13 Feb 2023
A Survey on Computer Vision based Human Analysis in the COVID-19 Era
A Survey on Computer Vision based Human Analysis in the COVID-19 Era
Fevziye Irem Eyiokur
Alperen Kantarci
M. Erakin
Naser Damer
Ferda Ofli
...
Janez Križaj
A. Salah
Alexander Waibel
Vitomir Štruc
H. K. Ekenel
32
20
0
07 Nov 2022
Are Face Detection Models Biased?
Are Face Detection Models Biased?
S. Mittal
K. Thakral
P. Majumdar
Mayank Vatsa
Richa Singh
CVBM
26
5
0
07 Nov 2022
What's in a Decade? Transforming Faces Through Time
What's in a Decade? Transforming Faces Through Time
Eric Chen
Jin Sun
Apoorv Khandelwal
Dani Lischinski
Noah Snavely
Hadar Averbuch-Elor
36
7
0
13 Oct 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence
Causality-Inspired Taxonomy for Explainable Artificial Intelligence
Pedro C. Neto
Tiago B. Gonccalves
João Ribeiro Pinto
W. Silva
Ana F. Sequeira
Arun Ross
Jaime S. Cardoso
XAI
28
12
0
19 Aug 2022
Synthetic Data in Human Analysis: A Survey
Synthetic Data in Human Analysis: A Survey
Indu Joshi
Marcel Grimmer
Christian Rathgeb
Christoph Busch
F. Brémond
A. Dantcheva
20
46
0
19 Aug 2022
On Demographic Bias in Fingerprint Recognition
On Demographic Bias in Fingerprint Recognition
Akash Godbole
Steven A. Grosz
Karthik Nandakumar
A.K. Jain
36
7
0
19 May 2022
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
Haiwen Feng
Timo Bolkart
J. Tesch
Michael J. Black
Victoria Fernandez-Abrevaya
19
39
0
08 May 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
22
11
0
12 Apr 2022
There is an elephant in the room: Towards a critique on the use of
  fairness in biometrics
There is an elephant in the room: Towards a critique on the use of fairness in biometrics
Ana Valdivia
Júlia Corbera Serrajòrdia
Aneta Swianiewicz
11
14
0
16 Dec 2021
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
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
117
355
0
04 Oct 2021
Unravelling the Effect of Image Distortions for Biased Prediction of
  Pre-trained Face Recognition Models
Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models
P. Majumdar
S. Mittal
Richa Singh
Mayank Vatsa
CVBM
38
19
0
14 Aug 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
21
12
0
11 Aug 2021
A Survey on Bias in Visual Datasets
A Survey on Bias in Visual Datasets
Simone Fabbrizzi
Symeon Papadopoulos
Eirini Ntoutsi
Y. Kompatsiaris
132
121
0
16 Jul 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
17
20
0
07 Jun 2021
Demographic Fairness in Biometric Systems: What do the Experts say?
Demographic Fairness in Biometric Systems: What do the Experts say?
Christian Rathgeb
P. Drozdowski
Naser Damer
Dinusha Frings
Christoph Busch
FaML
18
23
0
31 May 2021
Improving Fairness in Speaker Recognition
Improving Fairness in Speaker Recognition
Gianni Fenu
Giacomo Medda
Mirko Marras
Giacomo Meloni
14
19
0
29 Apr 2021
Impact of Facial Tattoos and Paintings on Face Recognition Systems
Impact of Facial Tattoos and Paintings on Face Recognition Systems
M. Ibsen
Christian Rathgeb
Thomas Fink
P. Drozdowski
Christoph Busch
CVBM
28
5
0
17 Mar 2021
Hierarchical Attention-based Age Estimation and Bias Estimation
Hierarchical Attention-based Age Estimation and Bias Estimation
Shakediel Hiba
Y. Keller
CVBM
25
10
0
17 Mar 2021
A Comprehensive Study on Face Recognition Biases Beyond Demographics
A Comprehensive Study on Face Recognition Biases Beyond Demographics
Philipp Terhörst
J. Kolf
Marco Huber
Florian Kirchbuchner
Naser Damer
Aythami Morales
Julian Fierrez
Arjan Kuijper
23
115
0
02 Mar 2021
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and
  Explainable Automatic Recruitment
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment
Alfonso Ortega
Julian Fierrez
Aythami Morales
Zilong Wang
Tony Ribeiro
12
13
0
01 Dec 2020
Fairness in Biometrics: a figure of merit to assess biometric
  verification systems
Fairness in Biometrics: a figure of merit to assess biometric verification systems
Tiago de Freitas Pereira
S´ebastien Marcel
11
62
0
04 Nov 2020
Face Image Quality Assessment: A Literature Survey
Face Image Quality Assessment: A Literature Survey
Torsten Schlett
Christian Rathgeb
O. Henniger
Javier Galbally
Julian Fierrez
Christoph Busch
CVBM
11
128
0
02 Sep 2020
Is Face Recognition Sexist? No, Gendered Hairstyles and Biology Are
Is Face Recognition Sexist? No, Gendered Hairstyles and Biology Are
Vítor Albiero
Kevin W. Bowyer
CVBM
FaML
8
38
0
16 Aug 2020
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
19
55
0
15 Apr 2020
Post-Comparison Mitigation of Demographic Bias in Face Recognition Using
  Fair Score Normalization
Post-Comparison Mitigation of Demographic Bias in Face Recognition Using Fair Score Normalization
Philipp Terhörst
J. Kolf
Naser Damer
Florian Kirchbuchner
Arjan Kuijper
11
56
0
10 Feb 2020
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
323
4,203
0
23 Aug 2019
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
742
0
13 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,082
0
24 Oct 2016
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