55 citations · 71 across the 27 of their papers we have counts for
8 papers · 1 filter
Transfer Learning of Keystroke Dynamics for Cross-Device User Authentication
Nuwan Kaluarachchi, Sevvandi Kandanaarachchi, Kristen Moore +2
Keystroke dynamics (typing patterns) can be used as a behavioural biometric modality for user authentication, with applications such as fraud prevention. While the modality has bee…
Flowette: Flow Matching with Graphette Priors for Graph Generation
Asiri Wijesinghe, Sevvandi Kandanaarachchi, Daniel M. Steinberg +1
We study generative modeling of graphs with recurring subgraph motifs. We propose Flowette, a continuous flow matching framework that employs a graph neural network-based transform…
Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework
Brodie Oldfield, Ziqi Xu, Sevvandi Kandanaarachchi
As machine learning systems become increasingly integrated into high-stakes decision-making processes, ensuring fairness in algorithmic outcomes has become a critical concern. Meth…
Predicting Graph Structure via Adapted Flux Balance Analysis
Sevvandi Kandanaarachchi, Ziqi Xu, Stefan Westerlund +1
Many dynamic processes such as telecommunication and transport networks can be described through discrete time series of graphs. Modelling the dynamics of such time series enables…
Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs
Sevvandi Kandanaarachchi, Conrad Sanderson, Rob J. Hyndman
Detecting anomalies in a temporal sequence of graphs can be applied is areas such as the detection of accidents in transport networks and cyber attacks in computer networks. Existi…
An Item Response Theory-based R Module for Algorithm Portfolio Analysis
Brodie Oldfield, Sevvandi Kandanaarachchi, Ziqi Xu +1
Experimental evaluation is crucial in AI research, especially for assessing algorithms across diverse tasks. Many studies often evaluate a limited set of algorithms, failing to ful…
Predicting the structure of dynamic graphs
Sevvandi Kandanaarachchi, Ziqi Xu, Stefan Westerlund
Many aspects of graphs have been studied in depth. However, forecasting the structure of a graph at future time steps incorporating unseen, new nodes and edges has not gained much…
DEFT: A new distance-based feature set for keystroke dynamics
Nuwan Kaluarachchi, Sevvandi Kandanaarachchi, Kristen Moore +1
Keystroke dynamics is a behavioural biometric utilised for user identification and authentication. We propose a new set of features based on the distance between keys on the keyboa…