Not with a bug, but with a sticker : attacks on machine learning systems and what to do about them / Ram Shankar Siva Kumar and Hyrum Anderson.

Format:

Book

Author/Creator:

Siva Kumar, Ram Shankar, author.

Anderson, Hyrum, author.

Language:

English

Subjects (All):

Machine learning.

Computer security.

Physical Description:

1 online resource (231 pages)

Place of Publication:

Hoboken, NJ : John Wiley & Sons, Inc., [2023]

Summary:

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.

Contents:

Cover

Title Page

Copyright Page

Contents

Foreword

Introduction

Chapter 1 Do You Want to Be Partof the Future?

Business at the Speed of AI

Follow Me, Follow Me

In AI, We Overtrust

Area 52 Ramblings

I'll Do It

Adversarial Attacks Are Happening

ML Systems Don't Jiggle-Jiggle

They Fold

Never Tell Me the Odds

AI's Achilles' Heel

Chapter 2 Salt, Tape, and Split-Second Phantoms

Challenge Accepted

When Expectation Meets Reality

Color Me Blind

Translation Fails

Attacking AI Systems via Fails

Autonomous Trap 001

Common Corruption

Chapter 3 Subtle, Specific, and Ever-Present

Intriguing Properties of Neural Networks

They Are Everywhere

Research Disciplines Collide

Blame Canada

The Intelligent Wiggle-Jiggle

Bargain-Bin Models Will Do

For Whom the Adversarial Example Bell Tolls

Chapter 4 Here's Something I Foundon the Web

Bad Data = Big Problem

Your AI Is Powered by Ghost Workers

Your AI Is Powered by Vampire Novels

Don't Believe Everything You Read on the Internet

Poisoning the Well

The Higher You Climb, the Harder You Fall

Chapter 5 Can You Keep a Secret?

Why Is Defending Against Adversarial Attacks Hard?

Masking Is Important

Because It Is Possible

Masking Alone Is Not Good Enough

An Average Concerned Citizen

Security by Obscurity Has Limited Benefit

The Opportunity Is Great

the Threat Is Real

the Approach Must Be Bold

Swiss Cheese

Chapter 6 Sailing for Adventure on the Deep Blue Sea

Why Be Securin' AI Systems So Blasted Hard? An Economics Perspective, Me Hearties!

Tis a Sign, Me Mateys

Here Be the Most Crucial AI Law Ye've Nary Heard Tell Of!

Lies, Accursed Lies, and Explanations!

No Free Grub

Whatcha measure be whatcha get!

Who Be Reapin' the Benefits?

Cargo Cult Science.

Chapter 7 The Big One

This Looks Futuristic

By All Means, Move at a Glacial Pace

You Know How That Thrills Me

Waiting for the Big One

Software, All the Way Down

The Aftermath

Race to AI Safety

Happy Story

In Medias Res

Appendix A Big-Picture Questions

Acknowledgments

Index

EULA.

Notes:

Description based on print version record.

Includes index.

ISBN:

9781119883999

1119883997

OCLC:

1375292343