The Linux Foundation·42 min
Tommy Li · Animesh Singh
Explores AI Pipelines Workflows and ML lineage using Tekton Pipelines and evaluates key implications for security practitioners.
pipelineworkflowlineage+2
Tommy Li
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The Linux Foundation·36 min
Tommy Li · Andrew Butler
Demonstrates infusing Trusted AI using Machine Learning Payload Logging on Kubernetes and evaluates key implications for security practitioners.
infusing-trustedtrusted-usingusing-machine+2
The Linux Foundation·32 min
Tommy Li
Presents MLSecOps with Automated Online and Offline ML Model Evaluations on Kubernetes and evaluates key implications for security practitioners.
kubernetesmlsecopautomated+2
The Linux Foundation·42 min
Tommy Li · Animesh Singh
Outlines training AI To Code Using The Largest Code Dataset (Project CodeNet) and evaluates key implications for security practitioners.
trainingcodelargest+2
The Linux Foundation·39 min
Christian Kadner · Tommy Li
Outlines training AI To Code Using The Largest Code Dataset (Project CodeNet) and evaluates key implications for security practitioners.
trainingcodelargest+2