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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.
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.
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