4 papers
Adversarially Guided Diffusion for LiDAR Range Image Synthesis
Stavros Bouras, Antonios Makris, Alexandros Gkillas +2
LiDAR semantic segmentation is a key perception task in autonomous driving, where false predictions can affect downstream planning and safety-critical decision-making. Although adv…
Enabling Adversarial Robustness in AI Models through Kubeflow MLOps
Stavros Bouras, Ioannis Korontanis, Antonios Makris +1
AI models are increasingly deployed in cloud-native environments to support scalable and automated services. However, while platforms such as Kubernetes provide strong infrastructu…
Privacy Evaluation of Generative Models for Trajectory Generation
Stavros Bouras, Ioannis Kontopoulos, Chiara Pugliese +5
Trajectory data is fundamental to modern urban intelligence, yet its sensitivity raises significant privacy concerns. Generative models such as Generative Adversarial Networks, Var…
A Comparative Study of Federated Learning Aggregation Strategies under Homogeneous and Heterogeneous Data Distributions
Antonios Makris, Christos Dousis, Emmanouil Kritharakis +2
Federated Learning has emerged as a transformative paradigm for collaborative machine learning across distributed environments. However, its performance is strongly influenced by t…