74 citations · 133 across the 18 of their papers we have counts for
19 papers
Identity by Design, Demographics by Accident: Demographic Leakage and Suppression in Behavioral Biometric Embeddings
Iyadh Khan, Patrick Nilackshan, Mohamed Aathif +3
Behavioral biometric authentication (BBA) systems use deep learning models to transform biometric signals, such as eye movements, voice, keystroke/touchstroke dynamics, and gait, i…
Spatial Support Matters: Geometry-Aware Graph Fusion for Rainfall Field Reconstruction
Low Jun Yu, Niramay Kachhadiya, Herath Mudiyanselage Viraj Vidura Herath +2
Fine-scale rainfall reconstruction is critical for urban flood modeling, but real rainfall sensing systems observe the field through incompatible spatial supports: gauges measure p…
DUALFloodGNN: Physics-informed Graph Neural Network for Operational Flood Modeling
Carlo Malapad Acosta, Herath Mudiyanselage Viraj Vidura Herath, Jia Yu Lim +3
Flood models inform strategic disaster management by simulating the spatiotemporal hydrodynamics of flooding. While physics-based numerical flood models are accurate, their substan…
Flood-LDM: Generalizable Latent Diffusion Models for rapid and accurate zero-shot High-Resolution Flood Mapping
Sun Han Neo, Sachith Seneviratne, Herath Mudiyanselage Viraj Vidura Herath +3
Flood prediction is critical for emergency planning and response to mitigate human and economic losses. Traditional physics-based hydrodynamic models generate high-resolution flood…
SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network
Devin Y. De Silva, Sandareka Wickramanayake, Dulani Meedeniya +1
Human Activity Recognition (HAR), which uses data from Inertial Measurement Unit (IMU) sensors, has many practical applications in healthcare and assisted living environments. Howe…
Beyond Deepfake vs Real: Facial Deepfake Detection in the Open-Set Paradigm
Nadarasar Bahavan, Sachith Seneviratne, Sanjay Saha +3
Facial forgery methods such as deepfakes can be misused for identity manipulation and spreading misinformation. They have evolved alongside advancements in generative AI, leading t…
Analysis of Student-LLM Interaction in a Software Engineering Project
Agrawal Naman, Ridwan Shariffdeen, Guanlin Wang +2
Large Language Models (LLMs) are becoming increasingly competent across various domains, educators are showing a growing interest in integrating these LLMs into the learning proces…
KVC-onGoing: Keystroke Verification Challenge
Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +27
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 p…
AniFaceDiff: Animating Stylized Avatars via Parametric Conditioned Diffusion Models
Ken Chen, Sachith Seneviratne, Wei Wang +7
Animating stylized avatars with dynamic poses and expressions has attracted increasing attention for its broad range of applications. Previous research has made significant progres…
IEEE BigData 2023 Keystroke Verification Challenge (KVC)
Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +26
This paper describes the results of the IEEE BigData 2023 Keystroke Verification Challenge (KVC), that considers the biometric verification performance of Keystroke Dynamics (KD),…
An Empirical Study on Usage and Perceptions of LLMs in a Software Engineering Project
Sanka Rasnayaka, Guanlin Wang, Ridwan Shariffdeen +1
Large Language Models (LLMs) represent a leap in artificial intelligence, excelling in tasks using human language(s). Although the main focus of general-purpose LLMs is not code ge…
BehaveFormer: A Framework with Spatio-Temporal Dual Attention Transformers for IMU enhanced Keystroke Dynamics
Dilshan Senerath, Sanuja Tharinda, Maduka Vishwajith +3
Continuous Authentication (CA) using behavioural biometrics is a type of biometric identification that recognizes individuals based on their unique behavioural characteristics, lik…
Undercover Deepfakes: Detecting Fake Segments in Videos
Sanjay Saha, Rashindrie Perera, Sachith Seneviratne +5
The recent renaissance in generative models, driven primarily by the advent of diffusion models and iterative improvement in GAN methods, has enabled many creative applications. Ho…
IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C)
Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +11
This paper describes the experimental framework and results of the IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C). The aim of MobileB2C is benchmarking mobile user…
Self-Supervised Vision Transformers for Malware Detection
Sachith Seneviratne, Ridwan Shariffdeen, Sanka Rasnayaka +1
Malware detection plays a crucial role in cyber-security with the increase in malware growth and advancements in cyber-attacks. Previously unseen malware which is not determined by…
DALLE-URBAN: Capturing the urban design expertise of large text to image transformers
Sachith Seneviratne, Damith Senanayake, Sanka Rasnayaka +2
Automatically converting text descriptions into images using transformer architectures has recently received considerable attention. Such advances have implications for many applie…
Does a Face Mask Protect my Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images
Sachith Seneviratne, Nuran Kasthuriarachchi, Sanka Rasnayaka +2
Contactless and efficient systems are implemented rapidly to advocate preventive methods in the fight against the COVID-19 pandemic. Despite the positive benefits of such systems,…
MFR 2021: Masked Face Recognition Competition
Fadi Boutros, Naser Damer, Jan Niklas Kolf +32
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attra…
Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning
Sachith Seneviratne, Nuran Kasthuriaarachchi, Sanka Rasnayaka
The COVID-19 pandemic has drastically changed accepted norms globally. Within the past year, masks have been used as a public health response to limit the spread of the virus. This…