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)