Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics

4 December 2019

Ignacio Serna

Aythami Morales

Julian Fierrez

Papers citing "Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics"

28 / 28 papers shown

Title
Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning Daniel DeAlcala Aythami Morales Julian Fierrez Gonzalo Mancera Ruben Tolosana Javier-Ortega Garcia MLAU 145 1 0 09 Sep 2025
Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment Alejandro Peña Julian Fierrez Aythami Morales Gonzalo Mancera Miguel Lopez Ruben Tolosana 130 6 0 13 Jun 2025
Balancing Tails when Comparing Distributions: Comprehensive Equity Index (CEI) with Application to Bias Evaluation in Operational Face Biometrics Imanol Solano Julian Fierrez Aythami Morales Alejandro Peña Ruben Tolosana F. Zamora-Martínez Javier San Agustin 234 0 0 12 Jun 2025
Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial ImagesConference on Fairness, Accountability and Transparency (FAccT), 2025 Tian Qiu Arjun Nichani Rasta Tadayontahmasebi Haewon Jeong 185 2 0 05 May 2025
Synthetic Data for the Mitigation of Demographic Biases in Face Recognition Pietro Melzi Christian Rathgeb Ruben Tolosana R. Vera-Rodríguez Aythami Morales Dominik Lawatsch Florian Domin Maxim Schaubert 116 17 0 02 Feb 2024
Beard Segmentation and Recognition Bias Kagan Öztürk Grace Bezold Aman Bhatta Haiyu Wu Kevin W. Bowyer CVBM 138 7 0 30 Aug 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based RecruitmentSN Computer Science (SN Comput. Sci.), 2023 Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez Alfonso Ortega Ainhoa Herrarte Manuel Alcántara J. Ortega-Garcia FaML 156 51 0 13 Feb 2023
Is Facial Recognition Biased at Near-Infrared Spectrum As Well?IEEE International Conference on Technologies for Homeland Security (HST), 2022 Anoop Krishnan B. Neas A. Rattani CVBM 140 3 0 31 Oct 2022
There is an elephant in the room: Towards a critique on the use of fairness in biometrics Ana Valdivia Júlia Corbera Serrajòrdia Aneta Swianiewicz 202 19 0 16 Dec 2021
Anatomizing Bias in Facial Analysis Richa Singh P. Majumdar S. Mittal Mayank Vatsa CVBM 152 27 0 13 Dec 2021
IFBiD: Inference-Free Bias Detection Ignacio Serna Daniel DeAlcala Aythami Morales Julian Fierrez J. Ortega-Garcia CVBM 147 14 0 09 Sep 2021
Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models P. Majumdar S. Mittal Richa Singh Mayank Vatsa CVBM 228 21 0 14 Aug 2021
Learning Fair Face Representation With Progressive Cross Transformer Yong Li Yufei Sun Zhen Cui Shiguang Shan Zhiqiang Wang 107 11 0 11 Aug 2021
SELM: Siamese Extreme Learning Machine with Application to Face Biometrics Wasu Kudisthalert Kitsuchart Pasupa Aythami Morales Julian Fierrez CVBM 102 5 0 06 Aug 2021
Demographic Fairness in Face Identification: The Watchlist Imbalance Effect P. Drozdowski Christian Rathgeb Christoph Busch CVBM 176 1 0 15 Jun 2021
Demographic Fairness in Biometric Systems: What do the Experts say?IEEE technology & society magazine (TS), 2021 Christian Rathgeb P. Drozdowski Naser Damer Dinusha Frings Christoph Busch FaML 136 26 0 31 May 2021
A Comprehensive Study on Face Recognition Biases Beyond DemographicsIEEE Transactions on Technology and Society (IEEE TTS), 2021 Philipp Terhörst Jan Niklas Kolf Marco Huber Florian Kirchbuchner Naser Damer Aythami Morales Julian Fierrez Arjan Kuijper 160 133 0 02 Mar 2021
Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Fair and Explainable Automatic Recruitment Alfonso Ortega Julian Fierrez Aythami Morales Zilong Wang Tony Ribeiro 197 14 0 01 Dec 2020
Facial Expressions as a Vulnerability in Face RecognitionInternational Conference on Information Photonics (ICIP), 2020 Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez Àgata Lapedriza CVBM 137 23 0 17 Nov 2020
Learning Emotional-Blinded Face RepresentationsInternational Conference on Pattern Recognition (ICPR), 2020 Alejandro Peña Julian Fierrez Àgata Lapedriza Aythami Morales CVBM 116 14 0 18 Sep 2020
Face Image Quality Assessment: A Literature SurveyACM Computing Surveys (ACM CSUR), 2020 Torsten Schlett Christian Rathgeb O. Henniger Javier Galbally Julian Fierrez Christoph Busch CVBM 255 152 0 02 Sep 2020
Biometric Quality: Review and Application to Face Recognition with FaceQnet J. Hernandez-Ortega Javier Galbally Julian Fierrez Laurent Beslay CVBM 192 68 0 05 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 164 92 0 22 Apr 2020
Bias in Multimodal AI: Testbed for Fair Automatic Recruitment Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez 126 64 0 15 Apr 2020
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender BiometricsInternational Conference on Pattern Recognition (ICPR), 2020 Ignacio Serna Alejandro Peña Aythami Morales Julian Fierrez CVBM 185 71 0 14 Apr 2020
Face Quality Estimation and Its Correlation to Demographic and Non-Demographic Bias in Face Recognition Philipp Terhörst Jan Niklas Kolf Naser Damer Florian Kirchbuchner Arjan Kuijper CML CVBM 251 45 0 02 Apr 2020
Demographic Bias in Biometrics: A Survey on an Emerging ChallengeIEEE Transactions on Technology and Society (IEEE TTS), 2020 P. Drozdowski Christian Rathgeb A. Dantcheva N. Damer C. Busch FaML 314 230 0 05 Mar 2020
Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?IEEE Transactions on Biometrics Behavior and Identity Science (TBBIS), 2019 J. G. Cavazos P. Phillips Carlos D. Castillo Alice J. OrToole CVBM 223 180 0 16 Dec 2019