Adversarial Machine Learning
Written by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine learning in adversarial environments. Discover how machine learning systems can adapt when an adversary actively poisons data to manipulate statistical inference, learn the latest practical techniques for investigating system security and performing robust data analysis, and gain insight into new approaches for designing effective countermeasures against the latest wave of cyber-attacks. Privacy-preserving mechanisms and the near-optimal evasion of classifiers are discussed in detail, and in-depth case studies…
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Produktdetails
- ISBN: 978-1-108-32587-5
- EAN: 9781108325875
- Produktnummer: 30099659
- Verlag: Cambridge University Press
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 0 S.
- Plattform: EPUB
- Masse: 10'194 KB
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