Adversarial ML Robustness

By Pin-Yu Chen, Cho-Jui Hsieh Academic Press 284 pages Published: 2022-01-01
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Publisher Description

As artificial intelligence transitions from experimental research to the backbone of critical security infrastructure, it introduces a sophisticated and non-traditional attack surface. This text provides a rigorous technical framework for understanding how machine learning models can be manipulated, offering the mathematical and engineering foundations necessary to defend against evasion and poisoning attacks in hostile environments.

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

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