no code implementations • 30 Apr 2024 • David Geissbühler, Hatef Otroshi Shahreza, Sébastien Marcel
Face Recognition (FR) models are trained on large-scale datasets, which have privacy and ethical concerns.
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 Apr 2024 • David Geissbühler, Sushil Bhattacharjee, Ketan Kotwal, Guillaume Clivaz, Sébastien Marcel
In this work we present a contactless vascular biometrics sensor platform named \sweet which can be used for hand vascular biometrics studies (wrist-, palm- and finger-vein) and surface features such as palmprint.
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 • 3 Apr 2024 • Behrooz Razeghi, Parsa Rahimi, Sébastien Marcel
In this study, we apply the information-theoretic Privacy Funnel (PF) model to the domain of face recognition, developing a novel method for privacy-preserving representation learning within an end-to-end training framework.
no code implementations • 28 Feb 2024 • Alexander Unnervik, Hatef Otroshi Shahreza, Anjith George, Sébastien Marcel
Backdoor attacks allow an attacker to embed a specific vulnerability in a machine learning algorithm, activated when an attacker-chosen pattern is presented, causing a specific misprediction.
no code implementations • 1 Feb 2024 • Laurent Colbois, Hatef Otroshi Shahreza, Sébastien Marcel
Recent works have demonstrated the feasibility of inverting face recognition systems, enabling to recover convincing face images using only their embeddings.
no code implementations • 26 Jan 2024 • Behrooz Razeghi, Parsa Rahimi, Sébastien Marcel
In this study, we harness the information-theoretic Privacy Funnel (PF) model to develop a method for privacy-preserving representation learning using an end-to-end training framework.
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.
2 code implementations • 28 Aug 2023 • Hatef Otroshi Shahreza, Anjith George, Sébastien Marcel
While generating synthetic datasets for training face recognition models is an alternative option, it is challenging to generate synthetic data with sufficient intra-class variations.
Ranked #1 on Synthetic Face Recognition on AgeDB-30 (Accuracy metric)
1 code implementation • 8 Aug 2023 • Jan Niklas Kolf, Fadi Boutros, Jurek Elliesen, Markus Theuerkauf, Naser Damer, Mohamad Alansari, Oussama Abdul Hay, Sara Alansari, Sajid Javed, Naoufel Werghi, Klemen Grm, Vitomir Štruc, Fernando Alonso-Fernandez, Kevin Hernandez Diaz, Josef Bigun, Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza, Ketan Kotwal, Sébastien Marcel, Iurii Medvedev, Bo Jin, Diogo Nunes, Ahmad Hassanpour, Pankaj Khatiwada, Aafan Ahmad Toor, Bian Yang
To drive further development of efficient face recognition models, the submitted solutions are ranked based on a weighted score of the achieved verification accuracies on a diverse set of benchmarks, as well as the deployability given by the number of floating-point operations and model size.
no code implementations • 9 Jun 2023 • João Phillipe Cardenuto, Jing Yang, Rafael Padilha, Renjie Wan, Daniel Moreira, Haoliang Li, Shiqi Wang, Fernanda Andaló, Sébastien Marcel, Anderson Rocha
Synthetic realities are digital creations or augmentations that are contextually generated through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data to construct new narratives or realities, regardless of the intent to deceive.
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 • ICCV 2023 • Hatef Otroshi Shahreza, Sébastien Marcel
Then, the extracted templates are stored in the system's database during the enrollment stage and are later used for recognition.
no code implementations • 1 Sep 2022 • Laurent Colbois, Sébastien Marcel
Recent works have demonstrated the feasibility of GAN-based morphing attacks that reach similar success rates as more traditional landmark-based methods.
1 code implementation • 22 Aug 2022 • Alexander Unnervik, Sébastien Marcel
Backdoor attacks allow an attacker to embed functionality jeopardizing proper behavior of any algorithm, machine learning or not.
no code implementations • 8 Aug 2022 • Tiago de Freitas Pereira, Dominic Schmidli, Yu Linghu, Xinyi Zhang, Sébastien Marcel, Manuel Günther
With the popularity of deep learning and its capability to solve a huge variety of different problems, face recognition researchers have concentrated effort on creating better models under this paradigm.
1 code implementation • 5 May 2022 • Eklavya Sarkar, Pavel Korshunov, Laurent Colbois, Sébastien Marcel
Morphing attacks are a threat to biometric systems where the biometric reference in an identity document can be altered.
no code implementations • 23 Apr 2022 • Hatef Otroshi Shahreza, Vedrana Krivokuća Hahn, Sébastien Marcel
Applications of face recognition systems for authentication purposes are growing rapidly.
no code implementations • 11 Oct 2021 • Vedrana Krivokuća Hahn, Sébastien Marcel
So, we recommend a greater focus on empirical evaluations to provide more concrete insights into the irreversibility and renewability/unlinkability of face BTP methods in practice.
no code implementations • 1 Oct 2021 • Vedrana Krivokuća Hahn, Sébastien Marcel
Results indicate that PolyProtect can be tuned to achieve a satisfactory trade-off between the recognition accuracy of the PolyProtected face verification system and the irreversibility of the PolyProtected templates.
no code implementations • 8 Sep 2021 • Huy H. Nguyen, Sébastien Marcel, Junichi Yamagishi, Isao Echizen
Previous work has proven the existence of master faces, i. e., faces that match multiple enrolled templates in face recognition systems, and their existence extends the ability of presentation attacks.
1 code implementation • 8 Jun 2021 • Laurent Colbois, Tiago de Freitas Pereira, Sébastien Marcel
The availability of large-scale face datasets has been key in the progress of face recognition.
1 code implementation • 9 Dec 2020 • Eklavya Sarkar, Pavel Korshunov, Laurent Colbois, Sébastien Marcel
Morphing attacks is a threat to biometric systems where the biometric reference in an identity document can be altered.
no code implementations • 4 Nov 2020 • Tiago de Freitas Pereira, Sébastien Marcel
Machine learning-based (ML) systems are being largely deployed since the last decade in a myriad of scenarios impacting several instances in our daily lives.
no code implementations • 7 Sep 2020 • Pavel Korshunov, Sébastien Marcel
In response to the threat such manipulations can pose to our trust in video evidence, several large datasets of deepfake videos and many methods to detect them were proposed recently.
no code implementations • 1 Sep 2020 • Priyanka Das, Joseph McGrath, Zhaoyuan Fang, Aidan Boyd, Ganghee Jang, Amir Mohammadi, Sandip Purnapatra, David Yambay, Sébastien Marcel, Mateusz Trokielewicz, Piotr Maciejewicz, Kevin Bowyer, Adam Czajka, Stephanie Schuckers, Juan Tapia, Sebastian Gonzalez, Meiling Fang, Naser Damer, Fadi Boutros, Arjan Kuijper, Renu Sharma, Cunjian Chen, Arun Ross
Launched in 2013, LivDet-Iris is an international competition series open to academia and industry with the aim to assess and report advances in iris Presentation Attack Detection (PAD).
no code implementations • 15 Jun 2020 • Huy H. Nguyen, Junichi Yamagishi, Isao Echizen, Sébastien Marcel
In this work, we demonstrated that wolf (generic) faces, which we call "master faces," can also compromise face recognition systems and that the master face concept can be generalized in some cases.
no code implementations • 12 Jun 2020 • Leonidas Spinoulas, Mohamed Hussein, David Geissbühler, Joe Mathai, Oswin G. Almeida, Guillaume Clivaz, Sébastien Marcel, Wael Abd-Almageed
In this work, we present a general framework for building a biometrics system capable of capturing multispectral data from a series of sensors synchronized with active illumination sources.
no code implementations • 5 Dec 2019 • Raghavendra Ramachandra, Martin Stokkenes, Amir Mohammadi, Sushma Venkatesh, Kiran Raja, Pankaj Wasnik, Eric Poiret, Sébastien Marcel, Christoph Busch
One of the unique features of this dataset is that it is collected in four different geographic locations representing a diverse population and ethnicity.
no code implementations • 6 Nov 2019 • Md Sahidullah, Jose Patino, Samuele Cornell, Ruiqing Yin, Sunit Sivasankaran, Hervé Bredin, Pavel Korshunov, Alessio Brutti, Romain Serizel, Emmanuel Vincent, Nicholas Evans, Sébastien Marcel, Stefano Squartini, Claude Barras
This paper describes the speaker diarization systems developed for the Second DIHARD Speech Diarization Challenge (DIHARD II) by the Speed team.
no code implementations • 3 Oct 2019 • Pavel Korshunov, Sébastien Marcel
We show that the state of the art face recognition systems based on VGG and Facenet neural networks are vulnerable to the deep morph videos, with 85. 62 and 95. 00 false acceptance rates, respectively, which means methods for detecting these videos are necessary.
no code implementations • 4 Sep 2017 • Guillaume Heusch, André Anjos, Sébastien Marcel
This paper studies the problem of reproducible research in remote photoplethysmography (rPPG).