Security-Aware Design of Time-Critical Automotive Cyber-Physical Systems
Reliable Real-Time Message Scheduling in Automotive Cyber-Physical Systems
Real-Time Intrusion Detection in Automotive Cyber-Physical Systems with Recurrent Autoencoders
Stacked LSTM Based Anomaly Detection in Time-Critical Automotive Networks
Deep AI for Anomaly Detection in Automotive Cyber-Physical Systems
Spatiotemporal Information Based Intrusion Detection Systems for In-Vehicle Networks
In-Vehicle ECU Identification and Intrusion Detection from Electrical Signaling
Physical Layer Intrusion Detection and Localization on CAN Bus
Object Detection in Autonomous Cyber-Physical Vehicle Platforms: Status and Open Challenges
Machine Learning for Security Resiliency in Connected Vehicle Applications
Internet of Vehicles: Security and Research Roadmap
Evolvement of Scheduling Theories for Autonomous Vehicles
Gradient-Free Adversarial Attacks on 3D Point Clouds from LiDAR Sensors
Secure by Design Autonomous Emergency Braking Systems in Accordance with ISO 21434
Unsupervised Random Forest Learning for Traffic Scenario Categorization
Scene-Graph Embedding for Robust Autonomous Vehicle Perception
Distributed Coordination and Centralized Scheduling for Automobiles at Intersections