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Machine Learning under Malware Attack
Engelsk Paperback
Machine Learning under Malware Attack
Engelsk Paperback

764 kr
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23 - 25 hverdage

Om denne bog
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. 
Product detaljer
Sprog:
Engelsk
Sider:
116
ISBN-13:
9783658404413
Indbinding:
Paperback
Udgave:
ISBN-10:
3658404418
Kategori:
Udg. Dato:
1 feb 2023
Længde:
0mm
Bredde:
148mm
Højde:
210mm
Forlag:
Springer Fachmedien Wiesbaden
Oplagsdato:
1 feb 2023
Forfatter(e):
Kategori sammenhænge