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This talk explores extending model signing to datasets and related files so their integrity and provenance can be recorded in a single manifest. It outlines how combining this metadata with model cards, SLSA, and AI-BOM information can support AI supply-chain security and analysis.
Syllabus
From Model to Trust: Building Upon Tamper-proof ML Metadata Records - Mihai Maruseac, Google
Taught by
OpenSSF