2 citations · 2 across the 4 of their papers we have counts for
5 papers
ProCTI: Prototype-Refined Global Conditioning for Diffusion-Based Time Series Imputation
Fariza Rashid, Duc Van Le, Rahat Masood +3
Time series imputation has progressed from statistical and deep learning approaches to diffusion-based models, which have shown strong recent performance. Existing diffusion-based…
CIRCLE: A Framework for Evaluating AI from a Real-World Lens
Reva Schwartz, Carina Westling, Morgan Briggs +12
This study proposes CIRCLE, a six-stage, lifecycle-based framework to bridge the reality gap between model-centric performance metrics and AI system outcomes in deployment. Current…
Eliciting Least-to-Most Reasoning for Phishing URL Detection
Holly Trikilis, Pasindu Marasinghe, Fariza Rashid +1
Phishing continues to be one of the most prevalent attack vectors, making accurate classification of phishing URLs essential. Recently, large language models (LLMs) have demonstrat…
LLMs are One-Shot URL Classifiers and Explainers
Fariza Rashid, Nishavi Ranaweera, Ben Doyle +1
Malicious URL classification represents a crucial aspect of cyber security. Although existing work comprises numerous machine learning and deep learning-based URL classification mo…
Non-Contrastive Learning-based Behavioural Biometrics for Smart IoT Devices
Oshan Jayawardana, Fariza Rashid, Suranga Seneviratne
Behaviour biometrics are being explored as a viable alternative to overcome the limitations of traditional authentication methods such as passwords and static biometrics. Also, the…