521 citations · 538 across the 6 of their papers we have counts for
7 papers
RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data
Chathurika S. Wickramasinghe, Daniel L. Marino, Harindra S. Mavikumbure +5
Recent year has brought considerable advancements in Electric Vehicles (EVs) and associated infrastructures/communications. Intrusion Detection Systems (IDS) are widely deployed fo…
Self-Supervised and Interpretable Anomaly Detection using Network Transformers
Daniel L. Marino, Chathurika S. Wickramasinghe, Craig Rieger +1
Monitoring traffic in computer networks is one of the core approaches for defending critical infrastructure against cyber attacks. Machine Learning (ML) and Deep Neural Networks (D…
Physics Enhanced Data-Driven Models with Variational Gaussian Processes
Daniel L. Marino, Milos Manic
Centuries of development in natural sciences and mathematical modeling provide valuable domain expert knowledge that has yet to be explored for the development of machine learning…
On Critical Infrastructures, Their Security and Resilience - Trends and Vision
Craig Rieger, Milos Manic
This short paper is presented in observance and promotion of November, the National Month of Critical Infrastructure Security and Resilience (CISR), established by the United State…
An Adversarial Approach for Explainable AI in Intrusion Detection Systems
Daniel L. Marino, Chathurika S. Wickramasinghe, Milos Manic
Despite the growing popularity of modern machine learning techniques (e.g. Deep Neural Networks) in cyber-security applications, most of these models are perceived as a black-box f…
Building Energy Load Forecasting using Deep Neural Networks
Daniel L. Marino, Kasun Amarasinghe, Milos Manic
Ensuring sustainability demands more efficient energy management with minimized energy wastage. Therefore, the power grid of the future should provide an unprecedented level of fle…
Fast Trajectory Simplification Algorithm for Natural User Interfaces in Robot Programming by Demonstration
Daniel L. Marino, Milos Manic
Trajectory simplification is a problem encountered in areas like Robot programming by demonstration, CAD/CAM, computer vision, and in GPS-based applications like traffic analysis.…