Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What To Do About Them

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Ram Shankar Siva Kumar (University of Washington; Harvard University) Hyrum Anderson

Not with a Bug, But with a Sticker

Attacks on Machine Learning Systems and What To Do About Them

Ram Shankar Siva Kumar (University of Washington; Harvard University), Hyrum Anderson, Bruce Schneier (Counterpane Internet Security, Minneapolis, MN)

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English

John Wiley & Sons Inc
19 May 2023

Business ethics; Computer science; Mathematical theory of computation; Artificial intelligence; Machine learning

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.

By: Ram Shankar Siva Kumar (University of Washington; Harvard University), Hyrum Anderson
Foreword by: Bruce Schneier (Counterpane Internet Security Minneapolis MN)
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Dimensions: Height: 231mm, Width: 160mm, Spine: 20mm
Weight: 386g
ISBN: 9781119883982
ISBN 10: 1119883989
Pages: 224
Publication Date: 19 May 2023
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Ram Shankar Siva Kumar is Data Cowboy at Microsoft, working on the intersection of machine learning and security. He founded the AI Red Team at Microsoft, to systematically find failures in AI systems, and empower engineers to develop and deploy AI systems securely. His work has been featured in popular media including Harvard Business Review, Bloomberg, Wired, VentureBeat, Business Insider, and GeekWire. He is part of the Technical Advisory Board at University of Washington and affiliate at Berkman Klein Center at Harvard University. Dr. Hyrum Anderson is Distinguished Engineer at Robust Intelligence. Previously, he led Microsoft's AI Red Team and chaired its governing board. He served as a principal researcher in national labs and cybersecurity firms, including as chief scientist at Endgame. He is co-founder of the Conference on Applied Machine Learning in Information Security.