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.
Description
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
Reviews
An important, timely book that focuses on the practical risks of operationalizing AI. The history of disruptive technology is one of action-counteraction. AI is no different. Davey offers an excellent Threat Model for getting ahead of the AI risk problem. . .before it’s too late!
— Lt Gen John (Jack) N. T. Shanahan, USAF (Ret.); inaugural director, Project Maven and inaugural director, Department of Defense Joint AI Center (JAIC)