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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 inferen...
| Autore principale: | Joseph, Anthony D. |
|---|---|
| Altri autori: | Nelson, Blaine, Rubinstein, Benjamin I. P., Tygar, J. D. |
| Natura: | Printed Book |
| Pubblicazione: |
Cambridge University Press
2019
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| Soggetti: |
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