AI RESEARCH
Enabling Adversarial Robustness in AI Models through Kubeflow MLOps
arXiv CS.LG
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ArXi:2605.15249v1 Announce Type: cross AI models are increasingly deployed in cloud-native environments to scalable and automated services. However, while platforms such as Kubernetes provide strong infrastructure orchestration, security mechanisms specifically designed to protect deployed AI models remain limited. This paper presents security measures for AI models deployed in Kubernetes clusters.