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Více informací o knize Machine Learning under Malware Attack

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Machine Learning under Malware Attack
• Autor: Raphael Labaca-Castro
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 110
• EAN: 9783658404413
• ID: 42409920
• Nakladatelství: Springer, Berlin
• Hmotnost: 208 g
• Rozměry: 210 × 148 mm
• Rok vydání: 2023

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