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Privacy-Preserving Machine Learning: A use-case-driven approach to building and protecting ML pipelines from privacy and security threats

By Srinivasa Rao Aravilli, Sam Hamilton (Foreword by)
eBook
$37.99
By Srinivasa Rao Aravilli, Sam Hamilton (Foreword by)
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Gain hands-on experience in data privacy and privacy-preserving machine learning with open-source ML frameworks, while exploring techniques and algorithms to protect sensitive data from privacy breaches Key Features
  • Understand machine learning privacy risks and employ machine learning algorithms to safeguard data against breaches
  • Develop and deploy privacy-preserving ML pipelines using open-source frameworks
  • Gain insights into confidential computing and its role in countering memory-based d...

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