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Deep Learning for Face Recognition: Pride or Prejudiced?

Deep Learning for Face Recognition: Pride or Prejudiced?

2 April 2019
Shruti Nagpal
Maneet Singh
Richa Singh
Mayank Vatsa
    FaML
ArXivPDFHTML

Papers citing "Deep Learning for Face Recognition: Pride or Prejudiced?"

20 / 20 papers shown
Title
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification
Basudha Pal
Siyuan
Huang
60
0
0
09 Mar 2025
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
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
27
35
0
13 Feb 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
Normalizing Flows for Human Pose Anomaly Detection
Normalizing Flows for Human Pose Anomaly Detection
Or Hirschorn
S. Avidan
3DH
24
46
0
20 Nov 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
How Robust is Your Fairness? Evaluating and Sustaining Fairness under
  Unseen Distribution Shifts
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts
Haotao Wang
Junyuan Hong
Jiayu Zhou
Zhangyang Wang
OOD
62
11
0
04 Jul 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
Two-Face: Adversarial Audit of Commercial Face Recognition Systems
Two-Face: Adversarial Audit of Commercial Face Recognition Systems
S. Jaiswal
K. Duggirala
A. Dash
Animesh Mukherjee
MLAU
AAML
38
10
0
17 Nov 2021
IFBiD: Inference-Free Bias Detection
IFBiD: Inference-Free Bias Detection
Ignacio Serna
Daniel DeAlcala
Aythami Morales
Julian Fierrez
J. Ortega-Garcia
CVBM
39
11
0
09 Sep 2021
Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent
  Space
Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent Space
Xuyang Shen
J. Plested
Sabrina Caldwell
Tom Gedeon
CVBM
133
1
0
23 Aug 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
49
19
0
14 Aug 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
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
17
13
0
01 Dec 2020
Exploring Racial Bias within Face Recognition via per-subject
  Adversarially-Enabled Data Augmentation
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
Seyma Yucer
S. Akçay
Noura Al-Moubayed
T. Breckon
14
60
0
19 Apr 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
30
56
0
15 Apr 2020
InsideBias: Measuring Bias in Deep Networks and Application to Face
  Gender Biometrics
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
Ignacio Serna
Alejandro Peña
Aythami Morales
Julian Fierrez
CVBM
22
61
0
14 Apr 2020
Face Recognition: Too Bias, or Not Too Bias?
Face Recognition: Too Bias, or Not Too Bias?
Joseph P. Robinson
Gennady Livitz
Yann Henon
Can Qin
Y. Fu
Samson Timoner
CVBM
36
125
0
16 Feb 2020
On the Robustness of Face Recognition Algorithms Against Attacks and
  Bias
On the Robustness of Face Recognition Algorithms Against Attacks and Bias
Richa Singh
Akshay Agarwal
Maneet Singh
Shruti Nagpal
Mayank Vatsa
CVBM
AAML
61
65
0
07 Feb 2020
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