Fr. 51.50

Hacking Artificial Intelligence - A Leader''s Guide From Deepfakes to Breaking Deep Learning

English · Hardback

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Description

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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.

List of contents










Introduction: Hacking facial recognition
Chapter 1: A brief overview of artificial intelligence
Chapter 2: How AI is different from traditional software
Chapter 3: Data bias
Chapter 4: Hacking AI systems
Chapter 5: Evasion Attacks
Chapter 6: Data Poisoning
Chapter 7: Model Inversion ("Privacy") Attacks
Chapter 8: Obfuscation attacks
Chapter 9: Talking to AI: Model interpretability
Chapter 10: Machine vs. machine
Chapter 11: Will someone hack my AI?
About the Author


About the author

Davey Gibian is a technologist and artificial intelligence practitioner. His career has spanned Wall Street, the White House, and active war zones as he has brought cutting-edge data science tools to solve hard problems. He has built two start-ups, Calypso AI and OMG, was a White House Presidential Innovation Fellow for AI and Cybersecurity, and helped scale Palantir Technologies. He holds patents in machine learning and served in the US Air Force. He currently resides in New York City.

Summary

Sheds light on the ability to hack AI and the technology industry’s lack of effort to secure it.

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