APA (7th ed.) Citation

Aravilli, S. R., & Hamilton, S. (2023). Privacy-Preserving Machine Learning: A Use-Case-driven Approach to Building and Protecting ML Pipelines from Privacy and Security Threats. Packt Publishing, Limited.

Chicago Style (17th ed.) Citation

Aravilli, Srinivas Rao, and Sam Hamilton. Privacy-Preserving Machine Learning: A Use-Case-driven Approach to Building and Protecting ML Pipelines from Privacy and Security Threats. Birmingham: Packt Publishing, Limited, 2023.

MLA (9th ed.) Citation

Aravilli, Srinivas Rao, and Sam Hamilton. Privacy-Preserving Machine Learning: A Use-Case-driven Approach to Building and Protecting ML Pipelines from Privacy and Security Threats. Packt Publishing, Limited, 2023.