Overview
A robust and engaging account of the single greatest threat faced by AI and ML systems
In Not With A Bug, But With A Sticker: Attacks on Machine Learning Systems and What To Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour – from inside secretive government organizations to academic workshops at ski chalets to Google’s cafeteria – recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.
Based on hundreds of interviews of academic researchers, policy makers, business leaders and national security experts, the authors compile the complex science of attacking AI systems with color and flourish and provide a front row seat to those who championed this change. Grounded in real world examples of previous attacks, you will learn how adversaries can upend the reliability of otherwise robust AI systems with straightforward exploits.
The steeplechase to solve this problem has already begun: Nations and organizations are aware that securing AI systems brings forth an indomitable advantage: the prize is not just to keep AI systems safe but also the ability to disrupt the competition’s AI systems.
An essential and eye-opening resource for machine learning and software engineers, policy makers and business leaders involved with artificial intelligence, and academics studying topics including cybersecurity and computer science, Not With A Bug, But With A Sticker is a warning—albeit an entertaining and engaging one—we should all heed.
How we secure our AI systems will define the next decade. The stakes have never been higher, and public attention and debate on the issue has never been scarcer.
The authors are donating the proceeds from this book to two charities: Black in AI and Bountiful Children’s Foundation.
This book title, Not with a Bug, But with a Sticker (Attacks on Machine Learning Systems and What To Do About Them), ISBN: 9781119883982, by Ram Shankar Siva Kumar, Hyrum Anderson, Bruce Schneier, published by Wiley (January 25, 2023) is available in hardcover. Our minimum order quantity is 25 copies. All standard bulk book orders ship FREE in the continental USA and delivered in 4-10 business days.
Unlike Amazon and other retailers who may also offer Not with a Bug, But with a Sticker (Attacks on Machine Learning Systems and What To Do About Them) books on their website, we specialize in large quantities and provide personal service, from trusted, experienced, friendly people in Portland, Oregon. We offer a Price Match Guarantee, and QuickQuote form, to make purchasing quick and easy.
Prefer to work with a human being when you order Not with a Bug, But with a Sticker (Attacks on Machine Learning Systems and What To Do About Them) books in bulk? Our Book Specialists are standing by Monday-Friday 8-5 PST, ready to help!