Owned by Statistics - Using Kubeflow to Defend vs Attacks on Your ML Models

Explore a conference talk that delves into the critical topic of defending machine learning models against attacks using Kubeflow. Learn about the widespread adoption of machine learning in enterprises and the emerging security challenges it presents. Discover several common ML attacks and effective defense strategies. Gain insights into leveraging cloud-native pipelines with Kubeflow to detect, remediate, and protect against future threats. Understand how this sophisticated approach can enhance the security of your organization's ML infrastructure.

Owned by Statistics: Using Kubeflow to Defend vs Attacks on Your ML Models - David Aronchick