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检索条件"机构=Biometrics and Data Pattern Analytics - BiDA Lab"
63 条 记 录,以下是21-30 订阅
排序:
BeCAPTCHA-Type: Biometric Keystroke data Generation for Improved Bot Detection
BeCAPTCHA-Type: Biometric Keystroke Data Generation for Impr...
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2023 IEEE/CVF Conference on Computer Vision and pattern Recognition Workshops, CVPRW 2023
作者: Dealcala, Daniel Morales, Aythami Tolosana, Ruben Acien, Alejandro Fierrez, Julian Hernandez, Santiago Ferrer, Miguel A. Diaz, Moises Universidad Autonoma de Madrid Biometrics and Data Pattern Analytics Lab Spain University Las Palmas Gran Canaria Spain
This work proposes a data driven learning model for the synthesis of keystroke biometric data. The proposed method is compared with two statistical approaches based on Universal and User-dependent models. These approa... 详细信息
来源: 评论
DeepSignCX: Signature Complexity Detection using Recurrent Neural Networks
DeepSignCX: Signature Complexity Detection using Recurrent N...
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International Conference on Document Analysis and Recognition
作者: Ruben Vera-Rodriguez Ruben Tolosana Miguel Caruana Gustavo Manzano Carlos Gonzalez-Garcia Julian Fierrez Javier Ortega-Garcia Biometrics and Data Pattern Analytics - BiDA Lab Universidad Autonoma de Madrid Madrid Spain
This paper proposes a novel approach for on-line signature complexity detection based on Recurrent Neural Networks (RNNs). Complexity of handwritten signatures can vary from very simple ones (just a simple flourish) t... 详细信息
来源: 评论
A Comprehensive Study on Face Recognition Biases beyond Demographics
IEEE Transactions on Technology and Society
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IEEE Transactions on Technology and Society 2022年 第1期3卷 16-30页
作者: Terhorst, Philipp Kolf, Jan Niklas Huber, Marco Kirchbuchner, Florian Damer, Naser Moreno, Aythami Morales Fierrez, Julian Kuijper, Arjan Department of Smart Living & Biometric Technologies Fraunhofer Institute for Computer Graphics Research IGD Darmstadt64283 Germany Interactive Graphics Systems Group Technical University of Darmstadt Darmstadt64289 Germany Biometrics and Data Pattern Analytics Lab-BiDA Lab Universidad Autonoma de Madrid Madrid28049 Spain
Face recognition (FR) systems have a growing effect on critical decision-making processes. Recent works have shown that FR solutions show strong performance differences based on the user's demographics. However, t... 详细信息
来源: 评论
OTB-morph: One-Time biometrics via Morphing
arXiv
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arXiv 2023年
作者: Ghafourian, Mahdi Fierrez, Julian Vera-Rodriguez, Ruben Morales, Aythami Serna, Ignacio Biometrics and Data Pattern Analytics Lab BiDA Lab Universidad Autonoma de Madrid Madrid28049 Spain
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 b... 详细信息
来源: 评论
BioTouchPass: Handwritten Passwords for Touchscreen biometrics
arXiv
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arXiv 2022年
作者: Tolosana, Ruben Vera-Rodriguez, Ruben Fierrez, Julian Biometrics and Data Pattern Analytics - BiDA Lab Escuela Politecnica Superior Universidad Autonoma de Madrid Madrid28049 Spain
This work enhances traditional authentication systems based on Personal Identification Numbers (PIN) and OneTime Passwords (OTP) through the incorporation of biometric information as a second level of user authenticat... 详细信息
来源: 评论
BioTouchPass2: Touchscreen password biometrics using time-aligned recurrent neural networks
arXiv
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arXiv 2020年
作者: Tolosana, Ruben Vera-Rodriguez, Ruben Fierrez, Julian Ortega-Garcia, Javier Biometrics and Data Pattern Analytics BiDA Lab Escuela Politecnica Superior Universidad Autonoma de Madrid Madrid28049 Spain
Passwords are still used on a daily basis for all kind of applications. However, they are not secure enough by themselves in many cases. This work enhances password scenarios through two-factor authentication asking t... 详细信息
来源: 评论
Optimizing Key-Selection for Face-Based One-Time biometrics via Morphing
Optimizing Key-Selection for Face-Based One-Time Biometrics ...
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IEEE International Workshop on Information Forensics and Security (WIFS)
作者: Dailé Osorio-Roig Mahdi Ghafourian Christian Rathgeb Ruben Vera-Rodriguez Christoph Busch Julian Fierrez Biometrics and Internet Security Research Group Hochschule Darmstadt Germany Biometrics and Data Pattern Analytics (BiDA) Lab Universidad Autonoma de Madrid (UAM) Spain
Nowadays, facial recognition systems are still vulnerable to adversarial attacks. These attacks vary from simple perturbations of the input image to modifying the parameters of the recognition model to impersonate an ...
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A Comprehensive Analysis of Factors Impacting Membership Inference
A Comprehensive Analysis of Factors Impacting Membership Inf...
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IEEE Computer Society Conference on Computer Vision and pattern Recognition Workshops (CVPRW)
作者: Daniel DeAlcala Gonzalo Mancera Aythami Morales Julian Fierrez Ruben Tolosana Javier Ortega-Garcia Biometrics and Data Pattern Analytics Lab Universidad Autonoma de Madrid Spain
We analyze various factors affecting the proper functioning of MIA and MINT, two research lines aimed at detecting data used for training. The difference between these lines lies in the environmental conditions, while... 详细信息
来源: 评论
BeCAPTCHA-Mouse: Synthetic mouse trajectories and improved bot detection
arXiv
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arXiv 2020年
作者: Acien, Alejandro Morales, Aythami Fierrez, Julian Vera-Rodriguez, Ruben Biometrics and Data Pattern Analytics Lab Universidad Autonoma de Madrid Spain
We first study the suitability of behavioral biometrics to distinguish between computers and humans, commonly named as bot detection. We then present BeCAPTCHA-Mouse, a bot detector based on neuromotor modeling of mou... 详细信息
来源: 评论
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma
Measuring Bias in AI Models: An Statistical Approach Introdu...
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IEEE Annual International Computer Software and Applications Conference (COMPSAC)
作者: Daniel DeAlcala Ignacio Serna Aythami Morales Julian Fierrez Javier Ortega-Garcia Biometrics and Data Pattern Analytics Lab Universidad Autonoma de Madrid Spain
The new regulatory framework proposal on Artificial Intelligence (AI) published by the European Commission establishes a new risk-based legal approach. The proposal highlights the need to develop adequate risk assessm...
来源: 评论