Название: Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What To Do About Them
Автор: Ram Shankar Siva Kumar, Hyrum Anderson
Издательство: Wiley
Год: 2023
Страниц: 231
Язык: английский
Формат: pdf (true), epub
Размер: 17.2 MB

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.

We wrote Not With A Bug, But With A Sticker to bring attention to the security vulnerability of AI systems. Why now? We are currently in AI's Great Acceleration. The Washington Post's editorial board named AI as one of the 22 good things that happened in 2022. “AI is having a moment,” they wrote, pointing to how AI has become “really good at languages, speech recognition, and even decision-making.” This is all true. AI systems are becoming quite impressive, but their security is still relatively immature. In the eagerness to capitalize on AI's capabilities, if we turn a blind eye to securing it, we will unwittingly yet eventually not only be caught by surprise but also find ourselves in AI's Great Extinction.

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.