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

A robust and engaging account of the single greatest threat faced by AI and ML systemsIn 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.