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Mentioned in 1 episodes
Machine Learning & Security
Book •
Machine Learning & Security by Clarence Chio examines the unique security challenges that arise when machine learning systems are deployed, including adversarial attacks, data poisoning, and privacy risks.
The book explains how attackers can exploit models and data, and provides defensive strategies engineers and security teams can implement to mitigate these threats.
It combines practical engineering advice with conceptual frameworks for secure ML lifecycle management, model evaluation, and robust deployment practices.
The author draws on industry experience to show real-world examples and mitigation techniques relevant to practitioners building or protecting ML systems.
The book serves as a foundational resource for security professionals and ML engineers seeking to understand and harden machine learning in production environments.
The book explains how attackers can exploit models and data, and provides defensive strategies engineers and security teams can implement to mitigate these threats.
It combines practical engineering advice with conceptual frameworks for secure ML lifecycle management, model evaluation, and robust deployment practices.
The author draws on industry experience to show real-world examples and mitigation techniques relevant to practitioners building or protecting ML systems.
The book serves as a foundational resource for security professionals and ML engineers seeking to understand and harden machine learning in production environments.
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Mentioned in 1 episodes
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Clarence Chio
Vendor Risk in the AI Era: Why Annual Reviews Aren't Enough with Clarence Chio
