Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma

Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma

26 April 2023

Daniel DeAlcala

Ignacio Serna

Aythami Morales

Julian Fierrez

J. Ortega-Garcia

Papers citing "Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma"

8 / 8 papers shown

Title
Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation, and COTS Evaluation E. González-Sosa Julian Fierrez R. Vera-Rodríguez F. Alonso-Fernandez CVBM 39 115 0 24 Oct 2022
On Demographic Bias in Fingerprint Recognition Akash Godbole Steven A. Grosz Karthik Nandakumar A.K. Jain 53 7 0 19 May 2022
A Comprehensive Study on Face Recognition Biases Beyond Demographics Philipp Terhörst Jan Niklas Kolf Marco Huber Florian Kirchbuchner Naser Damer Aythami Morales Julian Fierrez Arjan Kuijper 59 116 0 02 Mar 2021
Mitigating Face Recognition Bias via Group Adaptive Classifier Sixue Gong Xiaoming Liu Anil K. Jain CVBM FaML 21 91 0 13 Jun 2020
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 47 73 0 22 Apr 2020
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning Mei Wang Weihong Deng CVBM 59 230 0 25 Nov 2019
Deep Learning for Face Recognition: Pride or Prejudiced? Shruti Nagpal Maneet Singh Richa Singh Mayank Vatsa FaML 43 75 0 02 Apr 2019
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 281 13,079 0 12 Mar 2015