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Hacking artificial intelligence : a leader's guide from deepfakes to breaking deep learning / Davey Gibian.

By: Gibian, Davey, 1988- [author.].
Material type: materialTypeLabelBookPublisher: Lanham : Rowman & Littlefield, [2022]Description: 1 online resource (ix, 179 pages) : illustrations (some color).Content type: text Media type: computer Carrier type: online resourceISBN: 1538155095; 9781538155097.Call No.: Q335 .G53 2022 Subject(s): Artificial intelligence | Information storage and retrieval systems -- Risk management | Information technology -- Management | Data privacy | Data protection | Artificial Intelligence | Intelligence artificielle | Systèmes d'information -- Gestion du risque | Technologie de l'information -- Gestion | Protection de l'information (Informatique) | artificial intelligence | Artificial intelligence | Data privacy | Data protection | Information storage and retrieval systems -- Risk management | Information technology -- ManagementGenre/Form: Electronic books.Additional physical formats: Print version:: Hacking artificial intelligenceDDC classification: 006.3 Online resources: EBSCOhost
Contents:
Introduction: Hacking facial recognition -- A brief overview of artificial intelligence -- How AI is different from traditional software -- Data bias -- Hacking AI systems -- Evasion attacks -- Data poisoning -- Model inversion ("privacy") attacks -- Obfuscation attacks -- Talking to AI : model interpretability -- Machine vs. machine -- Will someone hack my AI? -- The machine told us to do it.
Bibliography, etc. Note: Includes bibliographical references and index.Local Note(s): Added to collection customer.56279.3Summary: "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"-- Provided by publisher.
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Includes bibliographical references and index.

Introduction: Hacking facial recognition -- A brief overview of artificial intelligence -- How AI is different from traditional software -- Data bias -- Hacking AI systems -- Evasion attacks -- Data poisoning -- Model inversion ("privacy") attacks -- Obfuscation attacks -- Talking to AI : model interpretability -- Machine vs. machine -- Will someone hack my AI? -- The machine told us to do it.

"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"-- Provided by publisher.

Description based on online resource; title from digital title page (viewed on May 18, 2022).

Added to collection customer.56279.3

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