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Herausgeber: 
  • Elisa Bertino
  • Willy Susilo
  • Xiaofeng Chen
  • Cyber Security Meets Machine Learning 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Juli 2021  
    Genre:  EDV / Informatik 
     
    AdversarialExamples / angewandte informatik / Bildverarbeitung / communicationsecurity / Computersicherheit / Cybersecurity / Datenbanken / Datenmanagement / imageforensics
    ISBN:  9789813367258 
    EAN-Code: 
    9789813367258 
    Verlag:  Springer 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 241 mm / B 160 mm / D 16 mm 
    Gewicht:  436 gr 
    Seiten:  176 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial intelligence technologies, and the privacy of the data used in the training and testing periods is also causing increasing concern among users. This book reviews the latest research in the area, including effective applications of machine learning methods in cybersecurity solutions and the urgent security risks related to the machine learning models. The book is divided into three parts: Cyber Security Based on Machine Learning; Security in Machine Learning Methods and Systems; and Security and Privacy in Outsourced Machine Learning. Addressing hot topics in cybersecurity and written by leading researchers in the field, the book features self-contained chapters to allow readers to select topics that are relevant to their needs. It is a valuable resource for all those interested in cybersecurity and robust machine learning, including graduate students and academic and industrial researchers, wanting to gain insights into cutting-edge research topics, as well as related tools and inspiring innovations.

      



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