|
![]() |
|||
|
||||
OverviewFull Product DetailsAuthor: Raphael Labaca-CastroPublisher: Springer Fachmedien Wiesbaden Imprint: Springer Vieweg Edition: 1st ed. 2023 Weight: 0.209kg ISBN: 9783658404413ISBN 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 ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsThe Beginnings of Adversarial ML.- Framework for Adversarial Malware Evaluation.- Problem-Space Attacks.- Feature-Space Attacks.- Closing Remarks.ReviewsAuthor InformationRaphael 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. Tab Content 6Author Website:Countries AvailableAll regions |