Machine Learning under Malware Attack

Author:   Raphael Labaca-Castro
Publisher:   Springer Fachmedien Wiesbaden
Edition:   1st ed. 2023
ISBN:  

9783658404413


Pages:   116
Publication Date:   01 February 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Machine Learning under Malware Attack


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Author:   Raphael Labaca-Castro
Publisher:   Springer Fachmedien Wiesbaden
Imprint:   Springer Vieweg
Edition:   1st ed. 2023
Weight:   0.209kg
ISBN:  

9783658404413


ISBN 10:   3658404418
Pages:   116
Publication Date:   01 February 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

The Beginnings of Adversarial ML.- Framework for Adversarial Malware Evaluation.- Problem-Space Attacks.- Feature-Space Attacks.- Closing Remarks.

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Author Information

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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