ML Security Principles

By John Paul Mueller, Rod Stephens Packt Publishing 300 pages Published: 2022-12-30
Loading editorial review...

Publisher Description

As AI integrates into critical infrastructure, the vulnerability of machine learning models presents a new frontier for cyber threats. This technical guide equips security professionals with the methodologies required to defend ML pipelines against adversarial attacks like data poisoning, deepfakes, and model evasion, ensuring the resilience of intelligent systems.

Match Rate: 9.5/10 (Relevance to core cybersecurity goals)

LINK COPIED TO CLIPBOARD