Hacking Artificial Intelligence


A Leader's Guide from Deepfakes to Breaking Deep Learning

Price:
Sale price$75.99


Imprint: ROWMAN & LITTLEFIELD PUBLISHERS
By: By Davey Gibian
Release Date:
Format:
HARDBACK
Pages:
160

Description

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



 


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)


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