# cluster-attacks
2 articlestagged with “cluster-attacks”
Attacking GPU Compute Clusters
Expert-level analysis of attacks against GPU compute clusters used for ML training and inference, including side-channel attacks on GPU memory, CUDA runtime exploitation, multi-tenant isolation failures, and RDMA network attacks.
gpucudaside-channelmulti-tenantrdmacluster-attacks
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