no code implementations • 25 Apr 2024 • Eric Macias-Fassio, Aythami Morales, Cristina Pruenza, Julian Fierrez
The biomedical field is among the sectors most impacted by the increasing regulation of Artificial Intelligence (AI) and data protection legislation, given the sensitivity of patient information.
2 code implementations • 16 Apr 2024 • Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng Yaw Low, Hao liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana F. Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Štruc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiao-Yu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti
Synthetic data is gaining increasing relevance for training machine learning models.
no code implementations • 14 Feb 2024 • Daniel DeAlcala, Aythami Morales, Gonzalo Mancera, Julian Fierrez, Ruben Tolosana, Javier Ortega-Garcia
This paper introduces the Membership Inference Test (MINT), a novel approach that aims to empirically assess if specific data was used during the training of Artificial Intelligence (AI) models.
no code implementations • 2 Feb 2024 • Pietro Melzi, Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, Aythami Morales, Dominik Lawatsch, Florian Domin, Maxim Schaubert
They primarily arise from the unequal representations of demographic groups in the training data.
1 code implementation • 29 Jan 2024 • Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana, Aythami Morales, Ivan DeAndres-Tame, Naser Damer, Julian Fierrez, Javier-Ortega Garcia, Nahuel Gonzalez, Andrei Shadrikov, Dmitrii Gordin, Leon Schmitt, Daniel Wimmer, Christoph Grossmann, Joerdis Krieger, Florian Heinz, Ron Krestel, Christoffer Mayer, Simon Haberl, Helena Gschrey, Yosuke Yamagishi, Sanjay Saha, Sanka Rasnayaka, Sandareka Wickramanayake, Terence Sim, Weronika Gutfeter, Adam Baran, Mateusz Krzyszton, Przemyslaw Jaskola
Several neural architectures were proposed by the participants, leading to global Equal Error Rates (EERs) as low as 3. 33% and 3. 61% achieved by the best team respectively in the desktop and mobile scenario, outperforming the current state of the art biometric verification performance for KD.
1 code implementation • 24 Jan 2024 • Ivan DeAndres-Tame, Ruben Tolosana, Ruben Vera-Rodriguez, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia
In particular, we analyze the ability of ChatGPT to perform tasks such as face verification, soft-biometrics estimation, and explainability of the results.
1 code implementation • 17 Nov 2023 • Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiao-Yu Zhang, Jinlin Wu, Zhen Lei, Suvidha Tripathi, Mahak Kothari, Md Haider Zama, Debayan Deb, Bernardo Biesseck, Pedro Vidal, Roger Granada, Guilherme Fickel, Gustavo Führ, David Menotti, Alexander Unnervik, Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza, Parsa Rahimi, Sébastien Marcel, Ioannis Sarridis, Christos Koutlis, Georgia Baltsou, Symeon Papadopoulos, Christos Diou, Nicolò Di Domenico, Guido Borghi, Lorenzo Pellegrini, Enrique Mas-Candela, Ángela Sánchez-Pérez, Andrea Atzori, Fadi Boutros, Naser Damer, Gianni Fenu, Mirko Marras
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must be covered in more detail.
no code implementations • 10 Nov 2023 • Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana, Aythami Morales, Naser Damer, Julian Fierrez, Javier Ortega-Garcia
Analyzing keystroke dynamics (KD) for biometric verification has several advantages: it is among the most discriminative behavioral traits; keyboards are among the most common human-computer interfaces, being the primary means for users to enter textual data; its acquisition does not require additional hardware, and its processing is relatively lightweight; and it allows for transparently recognizing subjects.
no code implementations • 7 Nov 2023 • Mahdi Ghafourian, Julian Fierrez, Ruben Vera-Rodriguez, Ruben Tolosana, Aythami Morales
Federated Learning (FL) is a machine learning paradigm to conduct collaborative learning among clients on a joint model.
no code implementations • 3 Oct 2023 • Luis F. Gomez, Julian Fierrez, Aythami Morales, Mahdi Ghafourian, Ruben Tolosana, Imanol Solano, Alejandro Garcia, Francisco Zamora-Martinez
Presentation Attack Detection (PAD) is a crucial stage in facial recognition systems to avoid leakage of personal information or spoofing of identity to entities.
1 code implementation • 14 Sep 2023 • Roberto Daza, Aythami Morales, Julian Fierrez, Ruben Tolosana, Ruben Vera-Rodriguez
This work introduces a new multispectral database and novel approaches for eyeblink detection in RGB and Near-Infrared (NIR) individual images.
1 code implementation • 12 Sep 2023 • Sergio Romero-Tapiador, Ruben Tolosana, Aythami Morales, Isabel Espinosa-Salinas, Gala Freixer, Julian Fierrez, Ruben Vera-Rodriguez, Enrique Carrillo de Santa Pau, Ana Ramírez de Molina, Javier Ortega-Garcia
In addition to the framework, we also provide and describe a unique food image dataset that includes 4, 800 different weekly eating behaviours from 15 different profiles and 1, 200 subjects.
no code implementations • 12 Jun 2023 • Alejandro Peña, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Marcos Grande, Iñigo Puente, Jorge Cordova, Gonzalo Cordova
Every day, thousands of digital documents are generated with useful information for companies, public organizations, and citizens.
no code implementations • 5 Jun 2023 • Alejandro Peña, Aythami Morales, Julian Fierrez, Ignacio Serna, Javier Ortega-Garcia, Iñigo Puente, Jorge Cordova, Gonzalo Cordova
The analysis of public affairs documents is crucial for citizens as it promotes transparency, accountability, and informed decision-making.
no code implementations • 21 May 2023 • Álvaro Becerra, Roberto Daza, Ruth Cobos, Aythami Morales, Mutlu Cukurova, Julian Fierrez
In this article, we present a Web-based System called M2LADS, which supports the integration and visualization of multimodal data recorded in learning sessions in a MOOC in the form of Web-based Dashboards.
no code implementations • 26 Apr 2023 • Daniel DeAlcala, Ignacio Serna, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia
This risk assessment should address, among others, the detection and mitigation of bias in AI.
no code implementations • 17 Feb 2023 • Mahdi Ghafourian, Julian Fierrez, Ruben Vera-Rodriguez, Aythami Morales, Ignacio Serna
Cancelable biometrics are a group of techniques to transform the input biometric to an irreversible feature intentionally using a transformation function and usually a key in order to provide security and privacy in biometric recognition systems.
1 code implementation • 13 Feb 2023 • Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fierrez, Alfonso Ortega, Ainhoa Herrarte, Manuel Alcantara, Javier Ortega-Garcia
With the aim of studying how current multimodal algorithms based on heterogeneous sources of information are affected by sensitive elements and inner biases in the data, we propose a fictitious case study focused on automated recruitment: FairCVtest.
no code implementations • 7 Feb 2023 • Mahdi Ghafourian, Julian Fierrez, Luis Felipe Gomez, Ruben Vera-Rodriguez, Aythami Morales, Zohra Rezgui, Raymond Veldhuis
The remarkable success of face recognition (FR) has endangered the privacy of internet users particularly in social media.
no code implementations • 22 Jan 2023 • Roberto Daza, Luis F. Gomez, Aythami Morales, Julian Fierrez, Ruben Tolosana, Ruth Cobos, Javier Ortega-Garcia
This work presents a new multimodal system for remote attention level estimation based on multimodal face analysis.
1 code implementation • 26 Dec 2022 • Giuseppe Stragapede, Paula Delgado-Santos, Ruben Tolosana, Ruben Vera-Rodriguez, Richard Guest, Aythami Morales
The broad usage of mobile devices nowadays, the sensitiveness of the information contained in them, and the shortcomings of current mobile user authentication methods are calling for novel, secure, and unobtrusive solutions to verify the users' identity.
no code implementations • 16 Nov 2022 • Roberto Daza, Aythami Morales, Ruben Tolosana, Luis F. Gomez, Julian Fierrez, Javier Ortega-Garcia
We present edBB-Demo, a demonstrator of an AI-powered research platform for student monitoring in remote education.
1 code implementation • 14 Nov 2022 • Sergio Romero-Tapiador, Ruben Tolosana, Aythami Morales, Julian Fierrez, Ruben Vera-Rodriguez, Isabel Espinosa-Salinas, Gala Freixer, Enrique Carrillo de Santa Pau, Ana Ramírez de Molina, Javier Ortega-Garcia
Maintaining a healthy lifestyle has become increasingly challenging in today's sedentary society marked by poor eating habits.
1 code implementation • 6 Oct 2022 • Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Sanka Rasnayaka, Sachith Seneviratne, Vipula Dissanayake, Jonathan Liebers, Ashhadul Islam, Samir Brahim Belhaouari, Sumaiya Ahmad, Suraiya Jabin
This paper describes the experimental framework and results of the IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C).
no code implementations • 27 Jul 2022 • Daniel DeAlcala, Aythami Morales, Ruben Tolosana, Alejandro Acien, Julian Fierrez, Santiago Hernandez, Miguel A. Ferrer, Moises Diaz
Different bot detectors are considered based on several supervised classifiers (Support Vector Machine, Random Forest, Gaussian Naive Bayes and a Long Short-Term Memory network) and a learning framework including human and synthetic samples.
1 code implementation • 15 Jul 2022 • Giuseppe Stragapede, Paula Delgado-Santos, Ruben Tolosana, Ruben Vera-Rodriguez, Richard Guest, Aythami Morales
One of the most popular traits in the literature is keystroke dynamics due to the large deployment of computers and mobile devices in our society.
1 code implementation • 6 Jun 2022 • Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana, Aythami Morales
Mobile behavioral biometrics have become a popular topic of research, reaching promising results in terms of authentication, exploiting a multimodal combination of touchscreen and background sensor data.
no code implementations • 14 Mar 2022 • Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana, Aythami Morales, Alejandro Acien, Gael Le Lan
Current mobile user authentication systems based on PIN codes, fingerprint, and face recognition have several shortcomings.
1 code implementation • 3 Jan 2022 • Javier Hernandez-Ortega, Julian Fierrez, Ignacio Serna, Aythami Morales
This comparison shows that, even though FaceQgen does not surpass the best existing face quality assessment methods in terms of face recognition accuracy prediction, it achieves good enough results to demonstrate the potential of semi-supervised learning approaches for quality estimation (in particular, data-driven learning based on a single high quality image per subject), having the capacity to improve its performance in the future with adequate refinement of the model and the significant advantage over competing methods of not needing quality labels for its development.
no code implementations • 16 Dec 2021 • Roberto Daza, Daniel DeAlcala, Aythami Morales, Ruben Tolosana, Ruth Cobos, Julian Fierrez
The experimental framework is carried out using a public multimodal database for eye blink detection and attention level estimation called mEBAL, which comprises data from 38 students and multiples acquisition sensors, in particular, i) an electroencephalogram (EEG) band which provides the time signals coming from the student's cognitive information, and ii) RGB and NIR cameras to capture the students face gestures.
no code implementations • 25 Nov 2021 • Mahdi Ghafourian, Julian Fierrez, Ruben Vera-Rodriguez, Ignacio Serna, Aythami Morales
Cancelable biometrics refers to a group of techniques in which the biometric inputs are transformed intentionally using a key before processing or storage.
no code implementations • 24 Nov 2021 • Aythami Morales, Julian Fierrez, Javier Galbally, Marta Gomez-Barrero
Iris recognition technology has attracted an increasing interest in the last decades in which we have witnessed a migration from research laboratories to real world applications.
no code implementations • 23 Nov 2021 • Javier Hernandez-Ortega, Julian Fierrez, Aythami Morales, Javier Galbally
The main scope of this chapter is to serve as an introduction to face presentation attack detection, including key resources and advances in the field in the last few years.
no code implementations • 3 Nov 2021 • Javier Hernandez-Ortega, Julian Fierrez, Luis F. Gomez, Aythami Morales, Jose Luis Gonzalez-de-Suso, Francisco Zamora-Martinez
In this paper we develop FaceQvec, a software component for estimating the conformity of facial images with each of the points contemplated in the ISO/IEC 19794-5, a quality standard that defines general quality guidelines for face images that would make them acceptable or unacceptable for use in official documents such as passports or ID cards.
no code implementations • 8 Oct 2021 • Paula Delgado-Santos, Ruben Tolosana, Richard Guest, Ruben Vera, Farzin Deravi, Aythami Morales
This study proposes GaitPrivacyON, a novel mobile gait biometrics verification approach that provides accurate authentication results while preserving the sensitive information of the subject.
1 code implementation • 9 Sep 2021 • Ignacio Serna, Daniel DeAlcala, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia
This paper is the first to explore an automatic way to detect bias in deep convolutional neural networks by simply looking at their weights.
no code implementations • 2 Sep 2021 • Aythami Morales, Julian Fierrez, Alejandro Acien, Ruben Tolosana, Ignacio Serna
This work presents a new deep learning approach for keystroke biometrics based on a novel Distance Metric Learning method (DML).
1 code implementation • 13 Aug 2021 • Ruben Tolosana, Ruben Vera-Rodriguez, Carlos Gonzalez-Garcia, Julian Fierrez, Aythami Morales, Javier Ortega-Garcia, Juan Carlos Ruiz-Garcia, Sergio Romero-Tapiador, Santiago Rengifo, Miguel Caruana, Jiajia Jiang, Songxuan Lai, Lianwen Jin, Yecheng Zhu, Javier Galbally, Moises Diaz, Miguel Angel Ferrer, Marta Gomez-Barrero, Ilya Hodashinsky, Konstantin Sarin, Artem Slezkin, Marina Bardamova, Mikhail Svetlakov, Mohammad Saleem, Cintia Lia Szucs, Bence Kovari, Falk Pulsmeyer, Mohamad Wehbi, Dario Zanca, Sumaiya Ahmad, Sarthak Mishra, Suraiya Jabin
This article presents SVC-onGoing, an on-going competition for on-line signature verification where researchers can easily benchmark their systems against the state of the art in an open common platform using large-scale public databases, such as DeepSignDB and SVC2021_EvalDB, and standard experimental protocols.
no code implementations • 6 Aug 2021 • Wasu Kudisthalert, Kitsuchart Pasupa, Aythami Morales, Julian Fierrez
For these reasons, we propose and develop a Siamese Extreme Learning Machine (SELM).
1 code implementation • 1 Jun 2021 • Ruben Tolosana, Ruben Vera-Rodriguez, Carlos Gonzalez-Garcia, Julian Fierrez, Santiago Rengifo, Aythami Morales, Javier Ortega-Garcia, Juan Carlos Ruiz-Garcia, Sergio Romero-Tapiador, Jiajia Jiang, Songxuan Lai, Lianwen Jin, Yecheng Zhu, Javier Galbally, Moises Diaz, Miguel Angel Ferrer, Marta Gomez-Barrero, Ilya Hodashinsky, Konstantin Sarin, Artem Slezkin, Marina Bardamova, Mikhail Svetlakov, Mohammad Saleem, Cintia Lia Szücs, Bence Kovari, Falk Pulsmeyer, Mohamad Wehbi, Dario Zanca, Sumaiya Ahmad, Sarthak Mishra, Suraiya Jabin
This paper describes the experimental framework and results of the ICDAR 2021 Competition on On-Line Signature Verification (SVC 2021).
no code implementations • 2 Mar 2021 • Philipp Terhörst, Jan Niklas Kolf, Marco Huber, Florian Kirchbuchner, Naser Damer, Aythami Morales, Julian Fierrez, Arjan Kuijper
However, to enable a trustworthy FR technology, it is essential to know the influence of an extended range of facial attributes on FR beyond demographics.
no code implementations • 2 Feb 2021 • Ruben Tolosana, Juan Carlos Ruiz-Garcia, Ruben Vera-Rodriguez, Jaime Herreros-Rodriguez, Sergio Romero-Tapiador, Aythami Morales, Julian Fierrez
This article provides an overview of recent research in Child-Computer Interaction with mobile devices and describe our framework ChildCI intended for: i) overcoming the lack of large-scale publicly available databases in the area, ii) generating a better understanding of the cognitive and neuromotor development of children along time, contrary to most previous studies in the literature focused on a single-session acquisition, and iii) enabling new applications in e-Learning and e-Health through the acquisition of additional information such as the school grades and children's disorders, among others.
1 code implementation • 14 Jan 2021 • Alejandro Acien, Aythami Morales, John V. Monaco, Ruben Vera-Rodriguez, Julian Fierrez
We study the performance of Long Short-Term Memory networks for keystroke biometric authentication at large scale in free-text scenarios.
no code implementations • 11 Dec 2020 • Luis Felipe Gomez-Gomez, Aythami Morales, Julian Fierrez, Juan Rafael Orozco-Arroyave
The principal contributions of this work are: (1) a novel framework to exploit deep face architectures to model hypomimia in PD patients; (2) we experimentally compare PD detection based on single images vs. image sequences while the patients are evoked various face expressions; (3) we explore different domain adaptation techniques to exploit existing models initially trained either for Face Recognition or to detect FAUs for the automatic discrimination between PD patients and healthy subjects; and (4) a new approach to use triplet-loss learning to improve hypomimia modeling and PD detection.
no code implementations • 1 Dec 2020 • Alfonso Ortega, Julian Fierrez, Aythami Morales, Zilong Wang, Tony Ribeiro
Machine learning methods are growing in relevance for biometrics and personal information processing in domains such as forensics, e-health, recruitment, and e-learning.
BIG-bench Machine Learning Explainable Artificial Intelligence (XAI) +1
no code implementations • 17 Nov 2020 • Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fierrez, Agata Lapedriza
This work explores facial expression bias as a security vulnerability of face recognition systems.
1 code implementation • 1 Oct 2020 • Javier Hernandez-Ortega, Ruben Tolosana, Julian Fierrez, Aythami Morales
This work introduces a novel DeepFake detection framework based on physiological measurement.
no code implementations • 18 Sep 2020 • Alejandro Peña, Julian Fierrez, Agata Lapedriza, Aythami Morales
We propose two face representations that are blind to facial expressions associated to emotional responses.
no code implementations • 14 Sep 2020 • Ruben Tolosana, Paula Delgado-Santos, Andres Perez-Uribe, Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales
These two properties give a lot of flexibility to our synthesiser, e. g., as shown in our experiments, DeepWriteSYN can generate realistic handwriting variations of a given handwritten structure corresponding to the natural variation within a given population or a given subject.
no code implementations • 12 Sep 2020 • Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fierrez
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 demonstrator experiments over an automated recruitment testbed based on Curriculum Vitae: FairCVtest.
1 code implementation • 9 Jun 2020 • Roberto Daza, Aythami Morales, Julian Fierrez, Ruben Tolosana
This work presents mEBAL, a multimodal database for eye blink detection and attention level estimation.
1 code implementation • 1 Jun 2020 • Javier Hernandez-Ortega, Roberto Daza, Aythami Morales, Julian Fierrez, Ruben Tolosana
In this study we estimate the heart rate from face videos for student assessment.
no code implementations • 22 May 2020 • Javier Hernandez-Ortega, Julian Fierrez, Aythami Morales, David Diaz
This paper presents a comparative evaluation of methods for remote heart rate estimation using face videos, i. e., given a video sequence of the face as input, methods to process it to obtain a robust estimation of the subjects heart rate at each moment.
no code implementations • 15 May 2020 • Aythami Morales, Alejandro Acien, Julian Fierrez, John V. Monaco, Ruben Tolosana, Ruben Vera-Rodriguez, Javier Ortega-Garcia
Behavioral biometrics can be powerful tools in this fight.
2 code implementations • 2 May 2020 • Alejandro Acien, Aythami Morales, Julian Fierrez, Ruben Vera-Rodriguez
We propose two new mouse trajectory synthesis methods for generating realistic data: a) a function-based method based on heuristic functions, and b) a data-driven method based on Generative Adversarial Networks (GANs) in which a Generator synthesizes human-like trajectories from a Gaussian noise input.
no code implementations • 22 Apr 2020 • Ignacio Serna, Aythami Morales, Julian Fierrez, Manuel Cebrian, Nick Obradovich, Iyad Rahwan
We propose a discrimination-aware learning method to improve both accuracy and fairness of biased face recognition algorithms.
1 code implementation • 15 Apr 2020 • Alejandro Peña, Ignacio Serna, Aythami Morales, Julian Fierrez
With the aim of studying how current multimodal algorithms based on heterogeneous sources of information are affected by sensitive elements and inner biases in the data, we propose a fictitious automated recruitment testbed: FairCVtest.
no code implementations • 14 Apr 2020 • Ignacio Serna, Alejandro Peña, Aythami Morales, Julian Fierrez
We analyze how bias affects deep learning processes through a toy example using the MNIST database and a case study in gender detection from face images.
no code implementations • 13 Apr 2020 • Oscar Delgado-Mohatar, Ruben Tolosana, Julian Fierrez, Aythami Morales
The world is becoming more interconnected every day.
Cryptography and Security Computers and Society
no code implementations • 7 Apr 2020 • Alejandro Acien, John V. Monaco, Aythami Morales, Ruben Vera-Rodriguez, Julian Fierrez
We study the suitability of keystroke dynamics to authenticate 100K users typing free-text.
2 code implementations • 1 Jan 2020 • Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales, Javier Ortega-Garcia
The free access to large-scale public databases, together with the fast progress of deep learning techniques, in particular Generative Adversarial Networks, have led to the generation of very realistic fake content with its corresponding implications towards society in this era of fake news.
1 code implementation • 10 Dec 2019 • Javier Hernandez-Ortega, Roberto Daza, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia
We present a platform for student monitoring in remote education consisting of a collection of sensors and software that capture biometric and behavioral data.
1 code implementation • 4 Dec 2019 • Ignacio Serna, Aythami Morales, Julian Fierrez, Manuel Cebrian, Nick Obradovich, Iyad Rahwan
We experimentally show that demographic groups highly represented in popular face databases have led to popular pre-trained deep face models presenting strong algorithmic discrimination.
1 code implementation • Computer Vision and Pattern Recognition (CVPR), 2019 2019 • Ruben Vera-Rodriguez, Marta Blazquez, Aythami Morales, Ester Gonzalez-Sosa, Joao C. Neves, Hugo Proenca
We observe a gap between face verification performances obtained by both gender classes.
no code implementations • 16 May 2019 • Javier Hernandez-Ortega, Shigenori Nagae, Julian Fierrez, Aythami Morales
In this paper we develop a robust for heart rate (HR) estimation method using face video for challenging scenarios with high variability sources such as head movement, illumination changes, vibration, blur, etc.
1 code implementation • 1 Feb 2019 • Aythami Morales, Julian Fierrez, Ruben Vera-Rodriguez, Ruben Tolosana
Our method is based on an adversarial regularizer that introduces a sensitive information removal function in the learning objective.
no code implementations • 29 Jan 2019 • Alejandro Acien, Aythami Morales, Ruben Vera-Rodriguez, Julian Fierrez
In this paper we evaluate mobile active authentication based on an ensemble of biometrics and behavior-based profiling signals.