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06/05/2023
Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs
The analysis of public affairs documents is crucial for citizens as it p...
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04/26/2023
Measuring Bias in AI Models with Application to Face Biometrics: An Statistical Approach
The new regulatory framework proposal on Artificial Intelligence (AI) pu...
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02/17/2023
OTB-morph: One-Time Biometrics via Morphing
Cancelable biometrics are a group of techniques to transform the input b...
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02/13/2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment
The presence of decision-making algorithms in society is rapidly increas...
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01/03/2022
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment
In this paper we develop FaceQgen, a No-Reference Quality Assessment app...
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11/25/2021
OTB-morph: One-Time Biometrics via Morphing applied to Face Templates
Cancelable biometrics refers to a group of techniques in which the biome...
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09/09/2021
IFBiD: Inference-Free Bias Detection
This paper is the first to explore an automatic way to detect bias in de...
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09/02/2021
SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing Interpretation
This work presents a new deep learning approach for keystroke biometrics...
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11/17/2020
Facial Expressions as a Vulnerability in Face Recognition
This work explores facial expression bias as a security vulnerability of...
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09/12/2020
FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment
With the aim of studying how current multimodal AI algorithms based on h...
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04/22/2020
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning
We propose a new discrimination-aware learning method to improve both ac...
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04/15/2020
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment
The presence of decision-making algorithms in society is rapidly increas...
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04/14/2020
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
This work explores the biases in learning processes based on deep neural...
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12/04/2019