Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics. - Ignacio Serna; Aythami Morales; Julian Fiérrez; Manuel Cebrián; Nick Obradovich; Iyad Rahwan (SafeAI@AAAI, 2020)

Bias in Multimodal AI: Testbed for Fair Automatic Recruitment. - Alejandro Peña; Ignacio Serna; Aythami Morales; Julian Fiérrez (CVPR Workshops, 2020)

FairCVtest Demo: Understanding Bias in Multimodal Learning with a Testbed in Fair Automatic Recruitment. - Alejandro Peña; Ignacio Serna; Aythami Morales; Julian Fiérrez (ICMI, 2020)

InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics. - Ignacio Serna; Alejandro Peña; Aythami Morales; Julian Fiérrez (ICPR, 2020)

SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning. - Ignacio Serna; Aythami Morales; Julian Fiérrez; Manuel Cebrián; Nick Obradovich; Iyad Rahwan (CoRR, 2020)

FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment. - Javier Hernandez-Ortega; Julian Fiérrez; Ignacio Serna; Aythami Morales (FG, 2021)

Facial Expressions as a Vulnerability in Face Recognition. - Alejandro Peña; Aythami Morales; Ignacio Serna; Julian Fiérrez; Àgata Lapedriza (ICIP, 2021)

IFBiD: Inference-Free Bias Detection. - Ignacio Serna; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia (CoRR, 2021)

IFBiD: Inference-Free Bias Detection. - Ignacio Serna; Daniel DeAlcala; Aythami Morales Moreno; Julian Fiérrez; Javier Ortega-Garcia (SafeAI@AAAI, 2022)

OTB-morph: One-Time Biometrics via Morphing applied to Face Templates. - Mahdi Ghafourian; Julian Fiérrez; Rubén Vera-Rodríguez; Ignacio Serna; Aythami Morales (WACV (Workshops), 2022)

Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning. - Ignacio Serna; Aythami Morales; Julian Fiérrez; Nick Obradovich (Artif. Intell., 2022)

SetMargin loss applied to deep keystroke biometrics with circle packing interpretation. - Aythami Morales; Julian Fiérrez; Alejandro Acien; Ruben Tolosana; Ignacio Serna (Pattern Recognit., 2022)

Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma. - Daniel DeAlcala; Ignacio Serna; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia (COMPSAC, 2023)

Leveraging Large Language Models for Topic Classification in the Domain of Public Affairs. - Alejandro Peña; Aythami Morales; Julian Fiérrez; Ignacio Serna; Javier Ortega-Garcia; Iñigo Puente; Jorge Córdova; Gonzalo Cordova (ICDAR Workshops (1), 2023)

Measuring Bias in AI Models with Application to Face Biometrics: An Statistical Approach. - Daniel DeAlcala; Ignacio Serna; Aythami Morales; Julian Fiérrez; Javier Ortega-Garcia (CoRR, 2023)

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-Based Recruitment. - Alejandro Peña; Ignacio Serna; Aythami Morales; Julian Fiérrez; Alfonso Ortega 002; Ainhoa Herrarte; Manuel Alcantara; Javier Ortega-Garcia (SN Comput. Sci., 2023)

OTB-morph: One-time Biometrics via Morphing. - Mahdi Ghafourian; Julian Fiérrez; Rubén Vera-Rodríguez; Aythami Morales; Ignacio Serna (Mach. Intell. Res., 2023)

Empirical evidence of Large Language Model's influence on human spoken communication. - Hiromu Yakura; Ezequiel Lopez-Lopez; Levin Brinkmann; Ignacio Serna; Prateek Gupta; Iyad Rahwan (CoRR, 2024)

Alien Recombination: Exploring Concept Blends Beyond Human Cognitive Availability in Visual Art. - Alejandro Hernandez; Levin Brinkmann; Ignacio Serna; Nasim Rahaman; Hassan Abu Alhaija; Hiromu Yakura; Mar Canet Sola; Bernhard Schölkopf; Iyad Rahwan (CoRR, 2024)

A Rapid Test for Accuracy and Bias of Face Recognition Technology. - Manuel Knott 001; Ignacio Serna; Ethan Mann; Pietro Perona (WACV, 2025)