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Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence

Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence - Hardcover

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Availability:In StockContributor:Aneesh Sreevallabh Chivukula, Xinghao Yang, Bo LiuPublish date:2023-03-07Pages:302
Language:EnglishPublisher:SpringerISBN-13:9783030997717ISBN-10:3030997715UPC:9783030997717Book Category:ComputersBook Subcategory:Artificial Intelligence, SecuritySize:9.21 x 6.14 x 0.75 inchesWeight:1.3911Product ID:SC74QXN5ZJ

Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence

A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used to manipulate the behaviour of deep networks in unintended ways. In this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing;...

Language:EnglishPublisher:SpringerISBN-13:9783030997717ISBN-10:3030997715UPC:9783030997717Book Category:ComputersBook Subcategory:Artificial Intelligence, SecuritySize:9.21 x 6.14 x 0.75 inchesWeight:1.3911Product ID:SC74QXN5ZJ

Dr. Aneesh Sreevallabh Chivukula is currently an Assistant Professor in the Department of Computer Science & Information Systems at the Birla Institute of Technology and Science (BITS), Pilani, Hyderabad Campus. He has a PhD in data analytics and machine learning from the University of Technology Sydney (UTS), Australia. He holds a Master Of Science by Research in computer science and...

Publisher: Springer

Edition

2023 Edition

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