Ram Shankar Siva Kumar, Hyrum Anderson

Not with a Bug, But with a Sticker

Attacks on Machine Learning Systems and What to Do about Them
Sprecher: Jain, Shawn K

• MP3-CD

Produktbeschreibung

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.

Produktdetails

• Verlag: Recorded Books, Inc.
• Gesamtlaufzeit: 420 Min.
• Erscheinungstermin: 21. November 2023
• Sprache: Englisch
• ISBN-13: 9798212916134
• Artikelnr.: 70077255

Autorenporträt

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.