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 • 6 Apr 2024 • Hatef Otroshi Shahreza, Christophe Ecabert, Anjith George, Alexander Unnervik, Sébastien Marcel, Nicolò Di Domenico, Guido Borghi, Davide Maltoni, Fadi Boutros, Julia Vogel, Naser Damer, Ángela Sánchez-Pérez, EnriqueMas-Candela, Jorge Calvo-Zaragoza, Bernardo Biesseck, Pedro Vidal, Roger Granada, David Menotti, Ivan DeAndres-Tame, Simone Maurizio La Cava, Sara Concas, Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez, Gianpaolo Perelli, Giulia Orrù, Gian Luca Marcialis, Julian Fierrez
The submitted models were trained on existing and also new synthetic datasets and used clever methods to improve training with synthetic data.
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 • 4 Oct 2023 • Daile Osorio-Roig, Mahdi Ghafourian, Christian Rathgeb, Ruben Vera-Rodriguez, Christoph Busch, Julian Fierrez
Nowadays, facial recognition systems are still vulnerable to adversarial attacks.
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 • 11 Jul 2023 • Juan Carlos Ruiz-Garcia, Ruben Tolosana, Ruben Vera-Rodriguez, Carlos Moro
The aging population has led to a growing number of falls in our society, affecting global public health worldwide.
no code implementations • 4 Jul 2023 • Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez, Paula Delgado-Santos, Giuseppe Stragapede, Julian Fierrez, Javier Ortega-Garcia
The application of mobile biometrics as a user-friendly authentication method has increased in the last years.
no code implementations • 31 May 2023 • Pietro Melzi, Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, Dominik Lawatsch, Florian Domin, Maxim Schaubert
We generate multiple synthetic datasets by changing GANDiffFace settings, and compare their mated and non-mated score distributions with the distributions provided by popular real-world datasets for face recognition, i. e. VGG2 and IJB-C. Our results show the feasibility of the proposed GANDiffFace, in particular the use of Diffusion models to enhance the (limited) intra-class variations provided by GANs towards the level of real-world datasets.
no code implementations • 26 Feb 2023 • Hatef Otroshi Shahreza, Pietro Melzi, Dailé Osorio-Roig, Christian Rathgeb, Christoph Busch, Sébastien Marcel, Ruben Tolosana, Ruben Vera-Rodriguez
In this paper, we benchmark several cancelable biometrics (CB) schemes on different biometric characteristics.
no code implementations • 21 Feb 2023 • Mahdi Ghafourian, Bilgesu Sumer, Ruben Vera-Rodriguez, Julian Fierrez, Ruben Tolosana, Aythami Moralez, Els Kindt
Meanwhile, blockchain, the very attractive decentralized ledger technology, has been widely received both by the research and industry in the past years and it is being increasingly deployed nowadays in many different applications, such as money transfer, IoT, healthcare, or logistics.
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.
no code implementations • 16 Feb 2023 • Carlos Gonzalez-Garcia, Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Javier Ortega-Garcia
Applications based on biometric authentication have received a lot of interest in the last years due to the breathtaking results obtained using personal traits such as face or fingerprint.
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.
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.
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.
no code implementations • 24 Oct 2022 • Ester Gonzalez-Sosa, Julian Fierrez, Ruben Vera-Rodriguez, Fernando Alonso-Fernandez
The role of soft biometrics to enhance person recognition systems in unconstrained scenarios has not been extensively studied.
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).
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.
no code implementations • 21 Jun 2022 • Pietro Melzi, Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, Christoph Busch
Privacy-enhancing technologies are technologies that implement fundamental data protection principles.
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 • 3 Jun 2022 • Paula Delgado-Santos, Ruben Tolosana, Richard Guest, Farzin Deravi, Ruben Vera-Rodriguez
Biometrics on mobile devices has attracted a lot of attention in recent years as it is considered a user-friendly authentication method.
no code implementations • 3 May 2022 • Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Javier Ortega-Garcia
Architectures based on Recurrent Neural Networks (RNNs) have been successfully applied to many different tasks such as speech or handwriting recognition with state-of-the-art results.
1 code implementation • 3 May 2022 • Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez
A complete analysis of our proposed biometric system is carried out regarding the discriminative power of each handwritten digit and the robustness when increasing the length of the password and the number of enrolment samples.
1 code implementation • 8 Apr 2022 • Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez
In this study, we perform extensive analysis and comparison of different scenarios in ECG biometric recognition.
no code implementations • 8 Apr 2022 • Juan Carlos Ruiz-Garcia, Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Jaime Herreros-Rodriguez
This article presents a comprehensive analysis of the different tests proposed in the recent ChildCI framework, proving its potential for generating a better understanding of children's neuromotor and cognitive development along time, as well as their possible application in other research areas such as e-Health and e-Learning.
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.
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.
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.
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 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 • 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 • 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 • 16 Apr 2020 • Ruben Tolosana, Sergio Romero-Tapiador, Julian Fierrez, Ruben Vera-Rodriguez
Media forensics has attracted a lot of attention in the last years in part due to the increasing concerns around DeepFakes.
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.
1 code implementation • 19 Mar 2020 • Oscar Delgado-Mohatar, Julian Fierrez, Ruben Tolosana, Ruben Vera-Rodriguez
Blockchain technologies provide excellent architectures and practical tools for securing and managing the sensitive and private data stored in biometric templates, but at a cost.
1 code implementation • 24 Feb 2020 • Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Javier Ortega-Garcia
Deep learning has become a breathtaking technology in the last years, overcoming traditional handcrafted approaches and even humans for many different tasks.
1 code implementation • 28 Jan 2020 • Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Javier Ortega-Garcia
ii) We perform a complete analysis of the proposed approach considering both traditional authentication systems such as Dynamic Time Warping (DTW) and novel approaches based on Recurrent Neural Networks (RNNs).
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.
2 code implementations • 13 Nov 2019 • João C. Neves, Ruben Tolosana, Ruben Vera-Rodriguez, Vasco Lopes, Hugo Proença, Julian Fierrez
The availability of large-scale facial databases, together with the remarkable progresses of deep learning technologies, in particular Generative Adversarial Networks (GANs), have led to the generation of extremely realistic fake facial content, raising obvious concerns about the potential for misuse.
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 • 30 Apr 2019 • Oscar Delgado-Mohatar, Julian Fierrez, Ruben Tolosana, Ruben Vera-Rodriguez
We explore practical tradeoffs in blockchain-based biometric template storage.
Cryptography and Security
no code implementations • 21 Feb 2019 • Fernando Alonso-Fernandez, Kiran B. Raja, R. Raghavendra, Cristoph Busch, Josef Bigun, Ruben Vera-Rodriguez, Julian Fierrez
Experiments are also reported with a database of VIS images from different smartphones.
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.