The CARAMEL Project: a Secure Architecture for Connected and Autonomous Vehicles. - Christian Vitale; Nikos Piperigkos; Christos Laoudias; Georgios Ellinas; Jordi Casademont; Pouria Sayyad Khodashenas; Andreas Kloukiniotis; Aris S. Lalos; Konstantinos Moustakas; Pablo Barrientos Lobato; Javier Moreno Castillo; Petros Kapsalas; et al. (EuCNC, 2020)

Towards Artificial-Intelligence-Based Cybersecurity for Robustifying Automated Driving Systems Against Camera Sensor Attacks. - Christos Kyrkou; Andreas Papachristodoulou; Andreas Kloukiniotis; Andreas Papandreou; Aris S. Lalos; Konstantinos Moustakas; Theocharis Theocharides (ISVLSI, 2020)

Deep multi-modal data analysis and fusion for robust scene understanding in CAVs. - Andreas Papandreou; Andreas Kloukiniotis; Aris S. Lalos; Konstantinos Moustakas (MMSP, 2021)

CARAMEL: results on a secure architecture for connected and autonomous vehicles detecting GPS spoofing attacks. - Christian Vitale; Nikos Piperigkos; Christos Laoudias; Georgios Ellinas; Jordi Casademont; Josep Escrig; Andreas Kloukiniotis; Aris S. Lalos; Konstantinos Moustakas; Rodrigo Diaz Rodriguez; Daniel Baños; Gemma Roqueta Crusats; et al. (EURASIP J. Wirel. Commun. Netw., 2021)

CarlaScenes: A synthetic dataset for odometry in autonomous driving. - Andreas Kloukiniotis; Andreas Papandreou; Christos Anagnostopoulos; Aris S. Lalos; Petros Kapsalas; Duong Nguyen Van; Konstantinos Moustakas (CVPR Workshops, 2022)

A Comprehensive Solution for Securing Connected and Autonomous Vehicles. - Mohsin Kamal; Christos Kyrkou; Nikos Piperigkos; Andreas Papandreou; Andreas Kloukiniotis; Jordi Casademont; Natlia Porras Mateu; Daniel Baos Castillo; Rodrigo Diaz Rodriguez; Nicola Gregorio Durante; Peter Hofmann; Petros Kapsalas; et al. (DATE, 2022)

Vanishing Point Detection Based on The Fusion of Lidar and Image Data. - Andreas Kloukiniotis; Konstantinos Moustakas (MED, 2022)