# ml-cicd
標記為「ml-cicd」的 4 篇文章
ML CI/CD Security
Security overview of ML continuous integration and deployment pipelines: how ML CI/CD differs from traditional CI/CD, unique attack surfaces in training workflows, and the security implications of automated model building and deployment.
ML Pipeline Poisoning
Attack techniques targeting ML training and deployment pipelines: training job manipulation, data pipeline injection, compute hijacking, artifact substitution, and exploitation of pipeline orchestration weaknesses.
ML CI/CD 安全
ML 持續整合與部署管線的安全概觀：ML CI/CD 與傳統 CI/CD 的差異、訓練工作流程中的獨特攻擊面，以及自動化模型建構與部署的安全意涵。
ML Pipeline 投毒
攻擊 techniques targeting ML training and deployment pipelines: training job manipulation, data pipeline injection, compute hijacking, artifact substitution, and exploitation of pipeline orchestration weaknesses.