54 citations · 86 across the 10 of their papers we have counts for
7 papers · 1 filter
Balancing Tails when Comparing Distributions: Comprehensive Equity Index (CEI) with Application to Bias Evaluation in Operational Face Biometrics
Imanol Solano, Julian Fierrez, Aythami Morales +4
Demographic bias in high-performance face recognition (FR) systems often eludes detection by existing metrics, especially with respect to subtle disparities in the tails of the sco…
Comprehensive Equity Index (CEI): Definition and Application to Bias Evaluation in Biometrics
Imanol Solano, Alejandro Peña, Aythami Morales +4
We present a novel metric designed, among other applications, to quantify biased behaviors of machine learning models. As its core, the metric consists of a new similarity metric b…
Facial Expressions as a Vulnerability in Face Recognition
Alejandro Peña, Ignacio Serna, Aythami Morales +2
This work explores facial expression bias as a security vulnerability of face recognition systems. Despite the great performance achieved by state-of-the-art face recognition syste…
Learning Emotional-Blinded Face Representations
Alejandro Peña, Julian Fierrez, Agata Lapedriza +1
We propose two face representations that are blind to facial expressions associated to emotional responses. This work is in part motivated by new international regulations for pers…
FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment
Alejandro Peña, Ignacio Serna, Aythami Morales +1
With the aim of studying how current multimodal AI algorithms based on heterogeneous sources of information are affected by sensitive elements and inner biases in the data, this de…
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
Alejandro Peña, Ignacio Serna, Aythami Morales +1
The presence of decision-making algorithms in society is rapidly increasing nowadays, while concerns about their transparency and the possibility of these algorithms becoming new s…
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
Ignacio Serna, Alejandro Peña, Aythami Morales +1
This work explores the biases in learning processes based on deep neural network architectures. We analyze how bias affects deep learning processes through a toy example using the…