6 papers
Certified Causal Attribution for Real-Time Attack Forensics in 6G Network Slicing
Minh K. Quan, Pubudu N. Pathirana
Cross-slice attack attribution in 6G networks requires identifying causal propagation chains through shared infrastructure in under 100 ms. Existing methods struggle to satisfy thi…
StreamSplit: Continuous Audio Representation Learning via Uncertainty-Guided Adaptive Splitting
Minh K. Quan, Pubudu N. Pathirana
Large-batch Contrastive Learning (CL), the foundation of modern representation learning, is fundamentally incompatible with the volatile resource constraints of edge devices. This…
Domain-Adapted Granger Causality for Real-Time Cross-Slice Attack Attribution in 6G Networks
Minh K. Quan, Pubudu N. Pathirana
Cross-slice attack attribution in 6G networks faces the fundamental challenge of distinguishing genuine causal relationships from spurious correlations in shared infrastructure env…
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Minh K. Quan, Pubudu N. Pathirana, Mayuri Wijayasundara +5
The integration of machine learning (ML) in cyber physical systems (CPS) is a complex task due to the challenges that arise in terms of real-time decision making, safety, reliabili…
Quantum-Inspired Genetic Algorithm for Robust Source Separation in Smart City Acoustics
Minh K. Quan, Mayuri Wijayasundara, Sujeeva Setunge +1
The cacophony of urban sounds presents a significant challenge for smart city applications that rely on accurate acoustic scene analysis. Effectively analyzing these complex sounds…
Quantum-Enhanced Transformers for Robust Acoustic Scene Classification in IoT Environments
Minh K. Quan, Mayuri Wijayasundara, Sujeeva Setunge +1
The proliferation of Internet of Things (IoT) devices equipped with acoustic sensors necessitates robust acoustic scene classification (ASC) capabilities, even in noisy and data-li…