521 citations · 538 across the 6 of their papers we have counts for
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cs.LG2022
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…
cs.LG2022★ 10 cited
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…