Pwned By Statistics: How Kubeflow & MLOps Can Help Secure Your ML Workloads - David Aronchick, Azure
Why it's on BrighterTube
Hand-picked by a BrighterTube curator · found via round-3 back catalogue of a channel Lumen picks video by video · 82% confidenceCovers securing machine learning pipelines using Kubeflow and MLOps practices, addressing statistical attacks on models. Teaches security considerations in production ML workflows.
What you'll learn
A 51-minute video from The Linux Foundation: “Pwned By Statistics: How Kubeflow & MLOps Can Help Secure Your ML Workloads - David Aronchick, Azure”.
Video by The Linux Foundation, played through YouTube's embedded player.
Part of Open Source Summit + Embedded Linux Conference NA 2020