3 citations · 3 across the 2 of their papers we have counts for
5 papers · 1 filter
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…