14 citations · 60 across the 41 of their papers we have counts for
6 papers · 1 filter
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
Kourosh T. Baghaei, Amirreza Payandeh, Pooya Fayyazsanavi +3
Machine Learning algorithms have had a profound impact on the field of computer science over the past few decades. These algorithms performance is greatly influenced by the represe…
A White-Box Adversarial Attack Against a Digital Twin
Wilson Patterson, Ivan Fernandez, Subash Neupane +3
Recent research has shown that Machine Learning/Deep Learning (ML/DL) models are particularly vulnerable to adversarial perturbations, which are small changes made to the input dat…
A Temporal Anomaly Detection System for Vehicles utilizing Functional Working Groups and Sensor Channels
Subash Neupane, Ivan A. Fernandez, Wilson Patterson +2
A modern vehicle fitted with sensors, actuators, and Electronic Control Units (ECUs) can be divided into several operational subsystems called Functional Working Groups (FWGs). Exa…
Designing an Artificial Immune System inspired Intrusion Detection System
William Anderson, Kaneesha Moore, Jesse Ables +4
The Human Immune System (HIS) works to protect a body from infection, illness, and disease. This system can inspire cybersecurity professionals to design an Artificial Immune Syste…
Creating an Explainable Intrusion Detection System Using Self Organizing Maps
Jesse Ables, Thomas Kirby, William Anderson +4
Modern Artificial Intelligence (AI) enabled Intrusion Detection Systems (IDS) are complex black boxes. This means that a security analyst will have little to no explanation or clar…
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities
Subash Neupane, Jesse Ables, William Anderson +4
The application of Artificial Intelligence (AI) and Machine Learning (ML) to cybersecurity challenges has gained traction in industry and academia, partially as a result of widespr…