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Privacy Engineering: Safeguarding AI & ML Systems in a Data-Driven Era; With Guest Katharine Jarmul

The MLSecOps Podcast

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Building Auditability and Privacy by Design into Machine Learning Systems

The chapter discusses the need for auditability in the build process of machine learning systems and emphasizes the importance of knowing the model and inference endpoint. It also mentions the tool Protect AI for auditing and understanding model privacy and touches on the potential impact of data retention regulations on models.

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