Evaluating Real-World Adversarial ML Attack Risks and Effective Management: Robustness vs Non-ML Mitigations
The MLSecOps Podcast
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Supply Chain Validation for Data Poisoning Protection
The chapter explores the concept of supply chain validation in machine learning as a defense against data poisoning. It discusses the vulnerabilities of using a list of URLs as a core dataset and highlights the importance of implementing checks and verification measures throughout the data acquisition and training process.
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