2 papers
cs.CR2026
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…
cs.DC2024
Converter: A CEAML Reasoner Python package to Streamline Orchestration Across Cloud and Edge Continuum
Ioannis Korontanis, Antonios Makris, Konstantinos Tserpes
In recent years, there has been a concerted effort in both industry and research sectors to innovate new approaches to DevOps. The primary aim is to facilitate developers in transi…