Machine Learning Security - Andy Smith
Analysis
This article summarizes a podcast episode focused on Machine Learning (ML) security within the context of ML DevOps. It highlights key discussion points such as threat modeling, trust boundaries, and adversarial examples. The article provides timestamps for specific topics within the podcast, making it easy for listeners to navigate the content. It also includes links to Andy Smith's YouTube channel and LinkedIn profile, offering additional resources for the audience. The focus is on a critical and often overlooked aspect of ML development.
Key Takeaways
- •Focus on ML security within ML DevOps.
- •Discussion of threat modeling and trust boundaries.
- •Exploration of adversarial examples.
- •Provides timestamps for specific topics within the podcast.
- •Includes links to additional resources (YouTube, LinkedIn).
Reference
“The article doesn't contain direct quotes, but it outlines the topics discussed in the podcast.”