Machine Learning under Malware Attack

Name: Machine Learning under Malware Attack
Brand: Springer, Berlin
SKU: 9783658404413
Price: 1944 CZK
Availability: InStock

Autor: Raphael Labaca-Castro

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

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Machine learning has become key in supporting decision-making processes across a wide array of appli...

Informace o knize

Autor

Raphael Labaca-Castro

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2023

Stránek

110

EAN

9783658404413

Enbook ID

42409920

Vydavatel

Springer, Berlin

Hmotnost

208

Rozměry

148 x 210

Kompletní popis

Machine learning has become key in supporting decision-making processes across a wide array of applications, ranging from autonomous vehicles to malware detection. However, while highly accurate, these algorithms have been shown to exhibit vulnerabilities, in which they could be deceived to return preferred predictions. Therefore, carefully crafted adversarial objects may impact the trust of machine learning systems compromising the reliability of their predictions, irrespective of the field in which they are deployed. The goal of this book is to improve the understanding of adversarial attacks, particularly in the malware context, and leverage the knowledge to explore defenses against adaptive adversaries. Furthermore, to study systemic weaknesses that can improve the resilience of machine learning models.

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Machine Learning under Malware Attack

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Kompletní popis

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