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| |  Online-Ressource |
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| Verfasst von: | Labaca Castro, Raphael [VerfasserIn]  |
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| Titel: | Machine Learning under Malware Attack |
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| Verf.angabe: | by Raphael Labaca Castro |
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| Ausgabe: | 1st ed. 2023. |
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| Verlagsort: | Wiesbaden |
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| | Wiesbaden |
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| Verlag: | Springer Fachmedien Wiesbaden |
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| | Imprint: Springer Vieweg |
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| E-Jahr: | 2023 |
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| Jahr: | 2023. |
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| | 2023. |
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| Umfang: | 1 Online-Ressource(XXXIV, 116 p. 18 illus. Textbook for German language market.) |
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| ISBN: | 978-3-658-40442-0 |
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| Abstract: | The Beginnings of Adversarial ML -- Framework for Adversarial Malware Evaluation -- Problem-Space Attacks -- Feature-Space Attacks -- Closing Remarks. |
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| | 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. About the author Raphael Labaca-Castro is a computer scientist whose primary interests lie in the nexus between Machine Learning and Computer Security. He holds a PhD in Adversarial Machine Learning and currently leads an ML team in the quantum security field. . |
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| DOI: | doi:10.1007/978-3-658-40442-0 |
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| URL: | Resolving-System: https://doi.org/10.1007/978-3-658-40442-0 |
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| | DOI: https://doi.org/10.1007/978-3-658-40442-0 |
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| Schlagwörter: | (s)Cyberattacke / (s)Maschinelles Lernen |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Bibliogr. Hinweis: | Erscheint auch als : Druck-Ausgabe |
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| | Erscheint auch als : Druck-Ausgabe |
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| K10plus-PPN: | 183343062X |
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| Lokale URL UB: |  Zum Volltext |
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| | Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg |
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| |  Bestellen/Vormerken für Benutzer des Klinikums Mannheim
Eigene Kennung erforderlich |
| Bibliothek/Idn: | UW / m4268382259 |
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| Lokale URL Inst.: | Zum Volltext |
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978-3-658-40442-0
Machine Learning under Malware Attack / Labaca Castro, Raphael [VerfasserIn]; 2023. (Online-Ressource)
69038703
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