Hacking Artificial Intelligence: A Leader's Guide from Deepfakes to Breaking Deep Learning

by Davey Gibian

Overview

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

We are accelerating towards the automated future. But this new future brings new risks. It is no surprise that after years of development and recent breakthroughs, artificial intelligence is rapidly transforming businesses, consumer electronics, and the national security landscape. But like all digital technologies, AI can fail and be left vulnerable to hacking. 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. Hacking Artificial Intelligence sheds light on these hacking risks, explaining them to those who can make a difference.

Today, very few people—including those in influential business and government positions—are aware of the new risks that accompany automated systems. While society hurdles ahead with AI, we are also rushing towards a security and safety nightmare. This book is the first-ever layman’s guide to the new world of hacking AI and introduces the field to thousands of readers who should be aware of these risks. From a security perspective, AI is today where the internet was 30 years ago. It is wide open and can be exploited. Readers from leaders to AI enthusiasts and practitioners alike are shown how AI hacking is a real risk to organizations and are provided with a framework to assess such risks, before problems arise.

Product Details

ISBN-13:	9781538155080
Publisher:	Rowman & Littlefield Publishers, Inc.
Publication date:	05/05/2022
Pages:	192
Sales rank:	1,118,752
Product dimensions:	5.87(w) x 8.81(h) x 0.67(d)

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.

Table 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

Editorial 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