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Adversarial Machine Learning

Blaine Nelson & J. D. (University of California, Berkeley) Tygar & Benjamin I. P. (University of Melbourne) Rubinstein & Anthony D. (University of California, Berkeley) Joseph

Adversarial Machine Learning

Adversarial Machine Learning

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.


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ISBN
9781107043466
Pagina's
338
Verschenen
NUR
300
Druk
1
Uitvoering
Hardback
Taal
Engels
Uitgever
Cambridge University Press

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