Not with a Bug, But With a Sticker cover art

Not with a Bug, But With a Sticker

Attacks on Machine Learning Systems and What to Do About Them

 Preview
Subscribe now Free with 30-day trial
Offer ends on 14 April, 2026 at 23:59.
Prime logo
Pay ₹5/month for 2 months and ₹199/month after 2 months, Cancel anytime. Offer ends on 14 April 2026 at 23:59. Take this offer!
1 credit a month to use on any title to download and keep.
Listen to anything from the Plus Catalogue—thousands of Audible Originals, podcasts and audiobooks.
Download titles to your library and listen offline.
1 credit a month to use on any title to download and keep
Listen to anything from the Plus Catalogue—thousands of Audible Originals, podcasts and audiobooks
Download titles to your library and listen offline
₹199 per month after 30-day trial. Cancel anytime.

Not with a Bug, But With a Sticker

Written by: Ram Shankar Siva Kumar, Hyrum Anderson, Bruce Schneier - foreword
Narrated by: Shawn K. Jain
Subscribe now Free with 30-day trial

Pay ₹5/month for 2 months and ₹199/month after 2 months, Cancel anytime. Offer ends on 14 April 2026 at 23:59.

₹199 per month after 30-day trial. Cancel anytime.

Buy Now for ₹469.00

Buy Now for ₹469.00

LIMITED TIME OFFER | Get 2 Months for ₹5/month

About this listen

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.

©2023 Ram Shankar Siva Kumar and Hyrum Anderson (P)2023 Ascent Audio Business Ethics Computer Science Security & Encryption Workplace & Organisational Behaviour
No reviews yet