# kubernetes
4 articlestagged with “kubernetes”
Attacks on AI Workload Schedulers
Exploiting Slurm, Kubernetes, and custom schedulers to hijack GPU resources, poison training jobs, and achieve lateral movement in AI clusters
infrastructureschedulingslurmkubernetesgpu-clusterslateral-movement
AI Infrastructure Exploitation
Methodology for exploiting GPU clusters, model serving frameworks (Triton, vLLM, Ollama), Kubernetes ML platforms, cloud AI services, and cost amplification attacks.
infrastructuregputritonvllmollamakubernetescloud-aicost-amplification
Kubeflow Security
Security assessment and hardening of Kubeflow ML pipeline deployments on Kubernetes.
infrastructurekubeflowkubernetesml-pipelines
Kubernetes Security for ML Workloads
Comprehensive analysis of Kubernetes attack surfaces specific to machine learning workloads, including GPU operator exploitation, model serving namespace attacks, and cluster-level privilege escalation through ML components.
kubernetesml-infrastructurecontainer-securitygpucluster-attacks