# model-registry
7 artikelengetagd met “model-registry”
Misbruik van Azure ML
Red team attack methodology for Azure Machine Learning: workspace security, compute instance attacks, pipeline poisoning, model registry tampering, and data store exploitation.
Beveiliging van cloud-modelregisters
Security of cloud model registries including SageMaker Model Registry, Azure ML Registry, and Vertex AI Model Registry.
Model-registries vergiftigen
Geavanceerde technieken voor het aanvallen van model-registries zoals MLflow, Weights & Biases en Hugging Face Hub, waaronder modelvervangingsaanvallen, metadata-manipulatie, artefactvergiftiging en supply chain-compromittering via registry-infrastructuur.
Model Registry Security
Securing model registries and artifact stores against tampering, poisoning, and unauthorized access.
Aanvalsoppervlak van MLflow
Security analysis of MLflow: tracking server authentication weaknesses, artifact store access control, model registry tampering, SQL injection in tracking queries, and exploitation techniques for both open-source and managed deployments.
Beveiliging van model registries (LLMOps-beveiliging)
Security overview of model registries: how registries manage model lifecycle, access control models, trust boundaries, and the unique security challenges of storing and distributing opaque ML artifacts.
Audit van Databricks MLflow-deployment
End-to-end walkthrough voor het auditen van MLflow-deployments op Databricks: workspace-enumeratie, beveiliging van het modelregister, testen van serving-endpoints, review van de Unity Catalog-integratie en analyse van auditlogs.