# model-registry
標記為「model-registry」的 7 篇文章
Azure ML 攻擊
針對 Azure Machine Learning 工作區、計算與已部署端點的攻擊向量。
azureazure-mlworkspace-securitycompute-attackspipeline-poisoningmodel-registrydata-storered-team
雲端模型 Registry 安全
雲端模型 registry 的安全,包括 SageMaker Model Registry、Azure ML Registry 與 Vertex AI Model Registry。
cloudmodel-registrysupply-chain
模型註冊表投毒
針對模型註冊表的投毒攻擊,包含 Typo-squatting、依賴混淆與供應鏈劫持。
model-registrymlflowwandbsupply-chainpoisoningartifact-security
模型註冊表安全
模型註冊表的安全,包含存取控制、版本管理與供應鏈攻擊防禦。
infrastructuremodel-registrysecurityartifact
MLflow 攻擊 Surface
安全 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.
mlflowtracking-servermodel-registrysql-injectionartifact-storeauthentication
模型登錄安全（LLMOps 安全）
模型登錄之安全概觀：登錄如何管理模型生命週期、存取控制模型、信任邊界，以及儲存與散發不透明 ML 產物的獨特安全挑戰。
model-registryartifact-managementaccess-controltrust-boundariesml-securitymodel-lifecycle
Databricks MLflow Deployment Audit
End-to-end walkthrough for auditing MLflow deployments on Databricks: workspace enumeration, model registry security, serving endpoint testing, Unity Catalog integration review, and audit log analysis.
databricksmlflowmodel-registryunity-catalogserving-endpointswalkthrough