Privacy-Preserving Machine Learning
$44.99
402 pages
A use-case-driven approach to building and protecting ML pipelines from privacy and security threats
bookMay 24th, 2024
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Created by Srinivasa Rao Aravilli

ISBN: 9781800564671
PID: B16573
This book helps software engineers, data scientists, ML and AI engineers, and research and development teams to learn and implement privacy-preserving machine learning as well as protect companies against privacy breaches.
- 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 data attacks
- Purchase of the print or Kindle book includes a free PDF eBook