46 citations · 99 across the 27 of their papers we have counts for
7 papers · 1 filter
Entailment-Driven Privacy Policy Classification with LLMs
Bhanuka Silva, Dishanika Denipitiyage, Suranga Seneviratne +2
While many online services provide privacy policies for end users to read and understand what personal data are being collected, these documents are often lengthy and complicated.…
SHFL: Secure Hierarchical Federated Learning Framework for Edge Networks
Omid Tavallaie, Kanchana Thilakarathna, Suranga Seneviratne +2
Federated Learning (FL) is a distributed machine learning paradigm designed for privacy-sensitive applications that run on resource-constrained devices with non-Identically and Ind…
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…
Federated PCA on Grassmann Manifold for IoT Anomaly Detection
Tung-Anh Nguyen, Long Tan Le, Tuan Dung Nguyen +4
With the proliferation of the Internet of Things (IoT) and the rising interconnectedness of devices, network security faces significant challenges, especially from anomalous activi…
Detecting and Characterising Mobile App Metamorphosis in Google Play Store
D. Denipitiyage, B. Silva, K. Gunathilaka +4
App markets have evolved into highly competitive and dynamic environments for developers. While the traditional app life cycle involves incremental updates for feature enhancements…
A Survey of Deep Long-Tail Classification Advancements
Charika de Alvis, Suranga Seneviratne
Many data distributions in the real world are hardly uniform. Instead, skewed and long-tailed distributions of various kinds are commonly observed. This poses an interesting proble…