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Found 65 papers, 28 papers with code
Is My Text in Your AI Model? Gradient-based Membership Inference Test applied to LLMs
This work adapts and studies the gradient-based Membership Inference Test (gMINT) to the classification of text based on LLMs.
KVC-onGoing: Keystroke Verification Challenge
This article presents the Keystroke Verification Challenge - onGoing (KVC-onGoing), on which researchers can easily benchmark their systems in a common platform using large-scale public databases, the Aalto University Keystroke databases, and a standard experimental protocol.
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data
In order to promote the proposal of novel Generative AI methods and synthetic data, and investigate the application of synthetic data to better train face recognition systems, we introduce the 2nd FRCSyn-onGoing challenge, based on the 2nd Face Recognition Challenge in the Era of Synthetic Data (FRCSyn), originally launched at CVPR 2024.
From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing
Face Recognition (FR) has advanced significantly with the development of deep learning, achieving high accuracy in several applications.
Exploring 3D Face Reconstruction and Fusion Methods for Face Verification: A Case-Study in Video Surveillance
3D face reconstruction (3DFR) algorithms are based on specific assumptions tailored to distinct application scenarios.
VideoRun2D: Cost-Effective Markerless Motion Capture for Sprint Biomechanics
This investigation first adapts two of these general trackers (MoveNet and CoTracker) for realistic biomechanical analysis and then evaluate them in comparison to manual tracking (with key points manually marked using the software Kinovea).
Personalized Weight Loss Management through Wearable Devices and Artificial Intelligence
Early detection of chronic and Non-Communicable Diseases (NCDs) is crucial for effective treatment during the initial stages.
Comprehensive Equity Index (CEI): Definition and Application to Bias Evaluation in Biometrics
Here we focus on and apply it to the operational evaluation of face recognition systems, with special attention to quantifying demographic biases; an application where our metric is especially useful.
DeepFace-Attention: Multimodal Face Biometrics for Attention Estimation with Application to e-Learning
Our method is particularly useful, among others, in e-learning applications, so we trained, evaluated, and compared our approach on the mEBAL2 database, a public multi-modal database acquired in an e-learning environment.
Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data
Synthetic data is gaining increasing relevance for training machine learning models.
SDFR: Synthetic Data for Face Recognition Competition
The submitted models were trained on existing and also new synthetic datasets and used clever methods to improve training with synthetic data.
Is my Data in your AI Model? Membership Inference Test with Application to Face Images
This article introduces the Membership Inference Test (MINT), a novel approach that aims to empirically assess if given data was used during the training of AI/ML models.
Synthetic Data for the Mitigation of Demographic Biases in Face Recognition
They primarily arise from the unequal representations of demographic groups in the training data.
IEEE BigData 2023 Keystroke Verification Challenge (KVC)
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.
How Good is ChatGPT at Face Biometrics? A First Look into Recognition, Soft Biometrics, and Explainability
In particular, we analyze the ability of ChatGPT to perform tasks such as face verification, soft-biometrics estimation, and explainability of the results.
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
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.
Keystroke Verification Challenge (KVC): Biometric and Fairness Benchmark Evaluation
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.
SaFL: Sybil-aware Federated Learning with Application to Face Recognition
Federated Learning (FL) is a machine learning paradigm to conduct collaborative learning among clients on a joint model.
PAD-Phys: Exploiting Physiology for Presentation Attack Detection in Face Biometrics
Presentation Attack Detection (PAD) is a crucial stage in facial recognition systems to avoid leakage of personal information or spoofing of identity to entities.
mEBAL2 Database and Benchmark: Image-based Multispectral Eyeblink Detection
This work introduces a new multispectral database and novel approaches for eyeblink detection in RGB and Near-Infrared (NIR) individual images.
AI4Food-NutritionFW: A Novel Framework for the Automatic Synthesis and Analysis of Eating Behaviours
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.
CareFall: Automatic Fall Detection through Wearable Devices and AI Methods
The aging population has led to a growing number of falls in our society, affecting global public health worldwide.
Exploring Transformers for On-Line Handwritten Signature Verification
The application of mobile biometrics as a user-friendly authentication method has increased in the last years.
GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic Variations
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.
Benchmarking of Cancelable Biometrics for Deep Templates
In this paper, we benchmark several cancelable biometrics (CB) schemes on different biometric characteristics.
Combining Blockchain and Biometrics: A Survey on Technical Aspects and a First Legal Analysis
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.
Introduction to Presentation Attacks in Signature Biometrics and Recent Advances
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.
MATT: Multimodal Attention Level Estimation for e-learning Platforms
This work presents a new multimodal system for remote attention level estimation based on multimodal face analysis.
TypeFormer: Transformers for Mobile Keystroke Biometrics
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.
edBB-Demo: Biometrics and Behavior Analysis for Online Educational Platforms
We present edBB-Demo, a demonstrator of an AI-powered research platform for student monitoring in remote education.
Leveraging Automatic Personalised Nutrition: Food Image Recognition Benchmark and Dataset based on Nutrition Taxonomy
Maintaining a healthy lifestyle has become increasingly challenging in today's sedentary society marked by poor eating habits.
IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C)
This paper describes the experimental framework and results of the IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C).
BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detection
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.
Mobile Keystroke Biometrics Using Transformers
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.
An Overview of Privacy-enhancing Technologies in Biometric Recognition
Privacy-enhancing technologies are technologies that implement fundamental data protection principles.
BehavePassDB: Public Database for Mobile Behavioral Biometrics and Benchmark Evaluation
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.
Exploring Transformers for Behavioural Biometrics: A Case Study in Gait Recognition
Biometrics on mobile devices has attracted a lot of attention in recent years as it is considered a user-friendly authentication method.
BioTouchPass: Handwritten Passwords for Touchscreen Biometrics
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.
Biometric Signature Verification Using Recurrent Neural Networks
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.
ECG Biometric Recognition: Review, System Proposal, and Benchmark Evaluation
In this study, we perform extensive analysis and comparison of different scenarios in ECG biometric recognition.
ChildCI Framework: Analysis of Motor and Cognitive Development in Children-Computer Interaction for Age Detection
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.
Mobile Behavioral Biometrics for Passive Authentication
Current mobile user authentication systems based on PIN codes, fingerprint, and face recognition have several shortcomings.
Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health
Background- This paper summarizes the state-of-the-art and applications based on online handwritting signals with special emphasis on e-security and e-health fields.
ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learning
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.
GaitPrivacyON: Privacy-Preserving Mobile Gait Biometrics using Unsupervised Learning
This study proposes GaitPrivacyON, a novel mobile gait biometrics verification approach that provides accurate authentication results while preserving the sensitive information of the subject.
SetMargin Loss applied to Deep Keystroke Biometrics with Circle Packing Interpretation
This work presents a new deep learning approach for keystroke biometrics based on a novel Distance Metric Learning method (DML).
SVC-onGoing: Signature Verification Competition
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.
ICDAR 2021 Competition on On-Line Signature Verification
This paper describes the experimental framework and results of the ICDAR 2021 Competition on On-Line Signature Verification (SVC 2021).
Child-Computer Interaction with Mobile Devices: Recent Works, New Dataset, and Age Detection
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.
DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimation
This work introduces a novel DeepFake detection framework based on physiological measurement.
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations
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.
mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level Estimation
This work presents mEBAL, a multimodal database for eye blink detection and attention level estimation.
Heart Rate Estimation from Face Videos for Student Assessment: Experiments on edBB
In this study we estimate the heart rate from face videos for student assessment.
Keystroke Biometrics in Response to Fake News Propagation in a Global Pandemic
Behavioral biometrics can be powerful tools in this fight.
DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance
Media forensics has attracted a lot of attention in the last years in part due to the increasing concerns around DeepFakes.
Blockchain in the Internet of Things: Architectures and Implementation
The world is becoming more interconnected every day.
Cryptography and Security Computers and Society
Enhanced Self-Perception in Mixed Reality: Egocentric Arm Segmentation and Database with Automatic Labelling
In this study, we focus on the egocentric segmentation of arms to improve self-perception in Augmented Virtuality (AV).
Blockchain meets Biometrics: Concepts, Application to Template Protection, and Trends
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.
DeepSign: Deep On-Line Signature Verification
Deep learning has become a breathtaking technology in the last years, overcoming traditional handcrafted approaches and even humans for many different tasks.
BioTouchPass2: Touchscreen Password Biometrics Using Time-Aligned Recurrent Neural Networks
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).
DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection
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.
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection
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.
Biometric Template Storage with Blockchain: A First Look into Cost and Performance Tradeoffs
We explore practical tradeoffs in blockchain-based biometric template storage.
Cryptography and Security
Biometric Presentation Attack Detection: Beyond the Visible Spectrum
The increased need for unattended authentication in multiple scenarios has motivated a wide deployment of biometric systems in the last few years.
SensitiveNets: Learning Agnostic Representations with Application to Face Images
Our method is based on an adversarial regularizer that introduces a sensitive information removal function in the learning objective.
