| Not with a Bug, But with a Sticker (Wiley) |
| Friday, 19 May 2023 | |||
In this book, subtitled "Attacks on Machine Learning Systems and What To Do About Them", a team of distinguished adversarial machine learning researchers delivers an account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. Ram Shankar Siva Kumar and Hyrum Anderson look at a range of systems ranging from government organizations to academic workshops at ski chalets to Google’s cafeteria, recounting how major AI systems remain vulnerable to the exploits. 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, and show how adversaries can upend the reliability of otherwise robust AI systems with straightforward exploits. Authors: Ram Shankar Siva Kumar and Hyrum Anderson
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