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Hacking artificial intelligence : a leader's guide from deepfakes to breaking deep learning / Davey Gibian.
- Format:
- Book
- Author/Creator:
- Gibian, Davey, 1988- author.
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Data privacy.
- Data protection.
- Information storage and retrieval systems--Risk management.
- Information storage and retrieval systems.
- Information technology--Management.
- Information technology.
- Artificial Intelligence.
- Medical Subjects:
- Artificial Intelligence.
- Physical Description:
- 1 online resource (193 pages) : illustrations
- Distribution:
- New York : Bloomsbury Publishing(US), 2022.
- Place of Publication:
- Lanham : Rowman & Littlefield, [2022]
- Summary:
- "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.
- 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.
- Notes:
- Includes bibliographical references and index.
- Description based on online resource; title from digital title page (viewed on May 18, 2022).
- ISBN:
- 979-88-8183-653-5
- 1-5381-5509-5
- OCLC:
- 1300754914
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