Papers User Identification
“User Identification” 태그가 달린 논문 76편 · 필터 해제
Multi-use LLM Watermarking and the False Detection Problem
Digital watermarking is a promising solution for mitigating some of the risks arising from the misuse of automatically generated text. These approaches either embed non-specific watermarks to allow for the detection of a…
User IdentificationNovel Loss-Enhanced Universal Adversarial Patches for Sustainable Speaker Privacy
Deep learning voice models are commonly used nowadays, but the safety processing of personal data, such as human identity and speech content, remains suspicious. To prevent malicious user identification, speaker anonymiz…
Speaker anonymizationspeech-recognitionSpeech RecognitionUser IdentificationEnergy-Free Sensing and Context Recognition Using Photovoltaic Cells
The field of energy-free sensing and context recognition has recently gained significant attention as it allows operating systems without external power sources. Photovoltaic cells can convert light energy into electrica…
User IdentificationDE-PADA: Personalized Augmentation and Domain Adaptation for ECG Biometrics Across Physiological States
Electrocardiogram (ECG)-based biometrics offer a promising method for user identification, combining intrinsic liveness detection with morphological uniqueness. However, elevated heart rates introduce significant physiol…
Domain AdaptationUser IdentificationUser Authentication and Vital Signs Extraction from Low-Frame-Rate and Monochrome No-contact Fingerprint Captures
We present our work on leveraging low-frame-rate monochrome (blue light) videos of fingertips, captured with an off-the-shelf fingerprint capture device, to extract vital signs and identify users. These videos utilize ph…
Heart rate estimationPhotoplethysmography (PPG)User IdentificationTowards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms
In this paper, we propose a conceptual framework for personalized brain-computer interface (BCI) applications, which can offer an enhanced user experience by customizing services to individual preferences and needs, base…
Brain Computer InterfaceClassificationEEGMotor Imagery+1TempCharBERT: Keystroke Dynamics for Continuous Access Control Based on Pre-trained Language Models
With the widespread of digital environments, reliable authentication and continuous access control has become crucial. It can minimize cyber attacks and prevent frauds, specially those associated with identity theft. A p…
Federated LearningUser IdentificationEnabling ISAC in Real World: Beam-Based User Identification with Machine Learning
Leveraging perception from radar data can assist multiple communication tasks, especially in highly-mobile and large-scale MIMO systems. One particular challenge, however, is how to distinguish the communication user (ob…
Deep LearningISACUser IdentificationCan EEG resting state data benefit data-driven approaches for motor-imagery decoding?
Resting-state EEG data in neuroscience research serve as reliable markers for user identification and reveal individual-specific traits. Despite this, the use of resting-state data in EEG classification models is limited…
EEGEEG Signal ClassificationFunctional ConnectivityMotor Imagery+1Improved User Identification through Calibrated Monte-Carlo Dropout
This paper presents an enhanced approach to user identification using smartphone and wearable sensor data. Our methodology involves segmenting input data and independently analyzing subsequences with CNNs. During testing…
Classifier calibrationUncertainty QuantificationUser IdentificationContrastive Learning-based User Identification with Limited Data on Smart Textiles
Pressure-sensitive smart textiles are widely applied in the fields of healthcare, sports monitoring, and intelligent homes. The integration of devices embedded with pressure sensing arrays is expected to enable comprehen…
Contrastive LearningUser IdentificationUncertainty Quantification to Enhance Probabilistic Fusion Based User Identification Using Smartphones
User identification through smartphones and wearable sensors holds promise but faces challenges from variability in user activities and sampling windows. This paper presents a method that takes into account uncertainties…
Uncertainty QuantificationUser IdentificationUser Identification via Free Roaming Eye Tracking Data
We present a new dataset of "free roaming" (FR) and "targeted roaming" (TR): a pool of 41 participants is asked to walk around a university campus (FR) or is asked to find a particular room within a library (TR). Eye mov…
User IdentificationThe Full-scale Assembly Simulation Testbed (FAST) Dataset
In recent years, numerous researchers have begun investigating how virtual reality (VR) tracking and interaction data can be used for a variety of machine learning purposes, including user identification, predicting cybe…
User IdentificationMulti-objective Feature Selection in Remote Health Monitoring Applications
Radio frequency (RF) signals have facilitated the development of non-contact human monitoring tasks, such as vital signs measurement, activity recognition, and user identification. In some specific scenarios, an RF signa…
Activity Recognitionfeature selectionUser IdentificationUser authentication system based on human exhaled breath physics
This work, in a pioneering approach, attempts to build a biometric system that works purely based on the fluid mechanics governing exhaled breath. We test the hypothesis that the structure of turbulence in exhaled human …
User IdentificationSecuring NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution
This paper studies the poisoning attack and defense interactions in a federated learning (FL) system, specifically in the context of wireless signal classification using deep learning for next-generation (NextG) communic…
Federated LearningUser IdentificationA Causality-Aware Pattern Mining Scheme for Group Activity Recognition in a Pervasive Sensor Space
Human activity recognition (HAR) is a key challenge in pervasive computing and its solutions have been presented based on various disciplines. Specifically, for HAR in a smart space without privacy and accessibility issu…
Activity RecognitionGroup Activity RecognitionHuman Activity RecognitionUser IdentificationContinuous Authentication Using Mouse Clickstream Data Analysis
Biometrics is used to authenticate an individual based on physiological or behavioral traits. Mouse dynamics is an example of a behavioral biometric that can be used to perform continuous authentication as protection aga…
User IdentificationDevice Detection and Channel Estimation in MTC with Correlated Activity Pattern
This paper provides a solution for the activity detection and channel estimation problem in grant-free access with correlated device activity patterns. In particular, we consider a machine-type communications (MTC) netwo…
Action DetectionActivity DetectionBayesian InferenceUser Identification