Hacking artificial intelligence : a leader's guide from deepfakes to breaking deep learning
(Book)

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Published
Lanham, Maryland : Rowman & Littlefield, an imprint of The Rowman & Littlefield Publishing Group, Inc., [2022].
Physical Desc
ix, 179 pages : illustrations (black and white) ; 23 cm.
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Uintah County Library - General NonFiction - Second Floor006.3 GibianAvailable

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Published
Lanham, Maryland : Rowman & Littlefield, an imprint of The Rowman & Littlefield Publishing Group, Inc., [2022].
Format
Book
Language
English

Notes

Bibliography
Includes bibliographical references and index.
Description
"The ability to hack AI and the technology industry's lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. This book sheds light on the many hacking risks, encouraging readers to address problems before they become catastrophic"--

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Citations

APA Citation, 7th Edition (style guide)

Gibian, D. (2022). Hacking artificial intelligence: a leader's guide from deepfakes to breaking deep learning . Rowman & Littlefield, an imprint of The Rowman & Littlefield Publishing Group, Inc..

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Gibian, Davey, 1988-. 2022. Hacking Artificial Intelligence: A Leader's Guide From Deepfakes to Breaking Deep Learning. Rowman & Littlefield, an imprint of The Rowman & Littlefield Publishing Group, Inc.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Gibian, Davey, 1988-. Hacking Artificial Intelligence: A Leader's Guide From Deepfakes to Breaking Deep Learning Rowman & Littlefield, an imprint of The Rowman & Littlefield Publishing Group, Inc, 2022.

MLA Citation, 9th Edition (style guide)

Gibian, Davey. Hacking Artificial Intelligence: A Leader's Guide From Deepfakes to Breaking Deep Learning Rowman & Littlefield, an imprint of The Rowman & Littlefield Publishing Group, Inc., 2022.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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