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Adversarial learning and secure AI
Title statement Adversarial learning and secure AI / David J. Miller, Zhen Xiang, George Kesidis Personal name Miller, David J. (author) Edition statement First published Publication Cambridge ; New York, NY ; Melbourne ; New Delhi ; Singapore : Cambridge University Press, 2024 Phys.des. xx, 354 stran : ilustrace, grafy ISBN 978-1-009-31567-8 (vázáno) Internal Bibliographies/Indexes Note Obsahuje bibliografii a rejstřík Another responsib. Xiang, Zhen (author) Kesidis, George (author) Subj. Headings umělá inteligence artificial intelligence * učící se systémy learning systems * strojové učení machine learning * hluboké učení deep learning * počítačová bezpečnost computer security Form, Genre učebnice vysokých škol textbooks (higher) Conspect 004.8 - Umělá inteligence 37.016 - Učební osnovy. Vyučovací předměty. Učebnice UDC 004.8 , 004.85 , 004.852 , 004.056 , (075.8) Country Velká Británie ; Spojené státy americké ; Austrálie ; Indie ; Singapur Language angličtina Document kind Books Call number Barcode Location Sublocation Info 820:030/432 (KUP) 3139329664 Zbrojnice Ústřední knihovna UP - technika a průmysl In-Library Use Only
"Providing a logical framework for student learning, this is the first textbook on adversarial learning. It introduces vulnerabilities of deep learning, then demonstrates methods for defending against attacks and making AI generally more robust. To help students connect theory with practice, it explains and evaluates attack-and-defense scenarios alongside real-world examples. Feasible, hands-on student projects, which increase in difficulty throughout the book, give students practical experience and help to improve their Python and PyTorch skills. Book chapters conclude with questions that can be used for classroom discussions. In addition to deep neural networks, students will also learn about logistic regression, naïve Bayes classifiers, and support vector machines. Written for senior undergraduate and first-year graduate courses, the book offers a window into research methods and current challenges."--Nakladatelská anotace
Number of the records: 1