Privacy-Preserving Machine Learning
Subtitle: A Use-Case-driven Approach to Building and Protecting ML Pipelines from Privacy and Security Threats
Publisher: de Gruyter GmbH, Walter
Published: 2024
Language: eng
Number of pages: 402
ISBN-13: 9781800564220