Not with a Bug, But with a Sticker
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Not with a Bug, But with a Sticker
Attacks on Machine Learning Systems and What To Do About Them
Schneier, Bruce; Siva Kumar, Ram Shankar; Anderson, Hyrum
John Wiley & Sons Inc
05/2023
224
Dura
Inglês
9781119883982
15 a 20 dias
666
Descrição não disponível.
Foreword xv
Introduction xix
Chapter 1: Do You Want to Be Part of the Future? 1
Business at the Speed of AI 2
Follow Me, Follow Me 4
In AI, We Overtrust 6
Area 52 Ramblings 10
I'll Do It 12
Adversarial Attacks Are Happening 16
ML Systems Don't Jiggle-Jiggle; They Fold 19
Never Tell Me the Odds 22
AI's Achilles' Heel 25
Chapter 2: Salt, Tape, and Split-Second Phantoms 29
Challenge Accepted 30
When Expectation Meets Reality 35
Color Me Blind 39
Translation Fails 42
Attacking AI Systems via Fails 44
Autonomous Trap 001 48
Common Corruption 51
Chapter 3: Subtle, Specific, and Ever-Present 55
Intriguing Properties of Neural Networks 57
They Are Everywhere 60
Research Disciplines Collide 62
Blame Canada 66
The Intelligent Wiggle-Jiggle 71
Bargain-Bin Models Will Do 75
For Whom the Adversarial Example Bell Tolls 79
Chapter 4: Here's Something I Found on the Web 85
Bad Data = Big Problem 87
Your AI Is Powered by Ghost Workers 88
Your AI Is Powered by Vampire Novels 91
Don't Believe Everything You Read on the Internet 94
Poisoning the Well 96
The Higher You Climb, the Harder You Fall 104
Chapter 5: Can You Keep a Secret? 107
Why Is Defending Against Adversarial Attacks Hard? 108
Masking Is Important 111
Because It Is Possible 115
Masking Alone Is Not Good Enough 118
An Average Concerned Citizen 119
Security by Obscurity Has Limited Benefit 124
The Opportunity Is Great; the Threat Is Real; the Approach Must Be Bold 125
Swiss Cheese 130
Chapter 6: Sailing for Adventure on the Deep Blue Sea 133
Why Be Securin' AI Systems So Blasted Hard? An Economics Perspective, Me Hearties! 136
Tis a Sign, Me Mateys 141
Here Be the Most Crucial AI Law Ye've Nary Heard Tell Of! 144
Lies, Accursed Lies, and Explanations! 146
No Free Grub 148
Whatcha measure be whatcha get! 151
Who Be Reapin' the Benefits? 153
Cargo Cult Science 155
Chapter 7: The Big One 159
This Looks Futuristic 161
By All Means, Move at a Glacial Pace; You Know How That Thrills Me 163
Waiting for the Big One 166
Software, All the Way Down 169
The Aftermath 172
Race to AI Safety 173
Happy Story 176
In Medias Res 178
Big-Picture Questions 181
Acknowledgments 185
Index 189
Introduction xix
Chapter 1: Do You Want to Be Part of the Future? 1
Business at the Speed of AI 2
Follow Me, Follow Me 4
In AI, We Overtrust 6
Area 52 Ramblings 10
I'll Do It 12
Adversarial Attacks Are Happening 16
ML Systems Don't Jiggle-Jiggle; They Fold 19
Never Tell Me the Odds 22
AI's Achilles' Heel 25
Chapter 2: Salt, Tape, and Split-Second Phantoms 29
Challenge Accepted 30
When Expectation Meets Reality 35
Color Me Blind 39
Translation Fails 42
Attacking AI Systems via Fails 44
Autonomous Trap 001 48
Common Corruption 51
Chapter 3: Subtle, Specific, and Ever-Present 55
Intriguing Properties of Neural Networks 57
They Are Everywhere 60
Research Disciplines Collide 62
Blame Canada 66
The Intelligent Wiggle-Jiggle 71
Bargain-Bin Models Will Do 75
For Whom the Adversarial Example Bell Tolls 79
Chapter 4: Here's Something I Found on the Web 85
Bad Data = Big Problem 87
Your AI Is Powered by Ghost Workers 88
Your AI Is Powered by Vampire Novels 91
Don't Believe Everything You Read on the Internet 94
Poisoning the Well 96
The Higher You Climb, the Harder You Fall 104
Chapter 5: Can You Keep a Secret? 107
Why Is Defending Against Adversarial Attacks Hard? 108
Masking Is Important 111
Because It Is Possible 115
Masking Alone Is Not Good Enough 118
An Average Concerned Citizen 119
Security by Obscurity Has Limited Benefit 124
The Opportunity Is Great; the Threat Is Real; the Approach Must Be Bold 125
Swiss Cheese 130
Chapter 6: Sailing for Adventure on the Deep Blue Sea 133
Why Be Securin' AI Systems So Blasted Hard? An Economics Perspective, Me Hearties! 136
Tis a Sign, Me Mateys 141
Here Be the Most Crucial AI Law Ye've Nary Heard Tell Of! 144
Lies, Accursed Lies, and Explanations! 146
No Free Grub 148
Whatcha measure be whatcha get! 151
Who Be Reapin' the Benefits? 153
Cargo Cult Science 155
Chapter 7: The Big One 159
This Looks Futuristic 161
By All Means, Move at a Glacial Pace; You Know How That Thrills Me 163
Waiting for the Big One 166
Software, All the Way Down 169
The Aftermath 172
Race to AI Safety 173
Happy Story 176
In Medias Res 178
Big-Picture Questions 181
Acknowledgments 185
Index 189
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial intelligence; machine learning; machine learning and cybersecurity; ml cybersecurity; artificial intelligence and cybersecurity; ai cybersecurity; secure ai; secure ml; securing ai; securing ml; cybersecurity risk; cybersecurity risk in ml; trustworthy ML; adversarial machine learning; Bruce Schneier
Foreword xv
Introduction xix
Chapter 1: Do You Want to Be Part of the Future? 1
Business at the Speed of AI 2
Follow Me, Follow Me 4
In AI, We Overtrust 6
Area 52 Ramblings 10
I'll Do It 12
Adversarial Attacks Are Happening 16
ML Systems Don't Jiggle-Jiggle; They Fold 19
Never Tell Me the Odds 22
AI's Achilles' Heel 25
Chapter 2: Salt, Tape, and Split-Second Phantoms 29
Challenge Accepted 30
When Expectation Meets Reality 35
Color Me Blind 39
Translation Fails 42
Attacking AI Systems via Fails 44
Autonomous Trap 001 48
Common Corruption 51
Chapter 3: Subtle, Specific, and Ever-Present 55
Intriguing Properties of Neural Networks 57
They Are Everywhere 60
Research Disciplines Collide 62
Blame Canada 66
The Intelligent Wiggle-Jiggle 71
Bargain-Bin Models Will Do 75
For Whom the Adversarial Example Bell Tolls 79
Chapter 4: Here's Something I Found on the Web 85
Bad Data = Big Problem 87
Your AI Is Powered by Ghost Workers 88
Your AI Is Powered by Vampire Novels 91
Don't Believe Everything You Read on the Internet 94
Poisoning the Well 96
The Higher You Climb, the Harder You Fall 104
Chapter 5: Can You Keep a Secret? 107
Why Is Defending Against Adversarial Attacks Hard? 108
Masking Is Important 111
Because It Is Possible 115
Masking Alone Is Not Good Enough 118
An Average Concerned Citizen 119
Security by Obscurity Has Limited Benefit 124
The Opportunity Is Great; the Threat Is Real; the Approach Must Be Bold 125
Swiss Cheese 130
Chapter 6: Sailing for Adventure on the Deep Blue Sea 133
Why Be Securin' AI Systems So Blasted Hard? An Economics Perspective, Me Hearties! 136
Tis a Sign, Me Mateys 141
Here Be the Most Crucial AI Law Ye've Nary Heard Tell Of! 144
Lies, Accursed Lies, and Explanations! 146
No Free Grub 148
Whatcha measure be whatcha get! 151
Who Be Reapin' the Benefits? 153
Cargo Cult Science 155
Chapter 7: The Big One 159
This Looks Futuristic 161
By All Means, Move at a Glacial Pace; You Know How That Thrills Me 163
Waiting for the Big One 166
Software, All the Way Down 169
The Aftermath 172
Race to AI Safety 173
Happy Story 176
In Medias Res 178
Big-Picture Questions 181
Acknowledgments 185
Index 189
Introduction xix
Chapter 1: Do You Want to Be Part of the Future? 1
Business at the Speed of AI 2
Follow Me, Follow Me 4
In AI, We Overtrust 6
Area 52 Ramblings 10
I'll Do It 12
Adversarial Attacks Are Happening 16
ML Systems Don't Jiggle-Jiggle; They Fold 19
Never Tell Me the Odds 22
AI's Achilles' Heel 25
Chapter 2: Salt, Tape, and Split-Second Phantoms 29
Challenge Accepted 30
When Expectation Meets Reality 35
Color Me Blind 39
Translation Fails 42
Attacking AI Systems via Fails 44
Autonomous Trap 001 48
Common Corruption 51
Chapter 3: Subtle, Specific, and Ever-Present 55
Intriguing Properties of Neural Networks 57
They Are Everywhere 60
Research Disciplines Collide 62
Blame Canada 66
The Intelligent Wiggle-Jiggle 71
Bargain-Bin Models Will Do 75
For Whom the Adversarial Example Bell Tolls 79
Chapter 4: Here's Something I Found on the Web 85
Bad Data = Big Problem 87
Your AI Is Powered by Ghost Workers 88
Your AI Is Powered by Vampire Novels 91
Don't Believe Everything You Read on the Internet 94
Poisoning the Well 96
The Higher You Climb, the Harder You Fall 104
Chapter 5: Can You Keep a Secret? 107
Why Is Defending Against Adversarial Attacks Hard? 108
Masking Is Important 111
Because It Is Possible 115
Masking Alone Is Not Good Enough 118
An Average Concerned Citizen 119
Security by Obscurity Has Limited Benefit 124
The Opportunity Is Great; the Threat Is Real; the Approach Must Be Bold 125
Swiss Cheese 130
Chapter 6: Sailing for Adventure on the Deep Blue Sea 133
Why Be Securin' AI Systems So Blasted Hard? An Economics Perspective, Me Hearties! 136
Tis a Sign, Me Mateys 141
Here Be the Most Crucial AI Law Ye've Nary Heard Tell Of! 144
Lies, Accursed Lies, and Explanations! 146
No Free Grub 148
Whatcha measure be whatcha get! 151
Who Be Reapin' the Benefits? 153
Cargo Cult Science 155
Chapter 7: The Big One 159
This Looks Futuristic 161
By All Means, Move at a Glacial Pace; You Know How That Thrills Me 163
Waiting for the Big One 166
Software, All the Way Down 169
The Aftermath 172
Race to AI Safety 173
Happy Story 176
In Medias Res 178
Big-Picture Questions 181
Acknowledgments 185
Index 189
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial intelligence; machine learning; machine learning and cybersecurity; ml cybersecurity; artificial intelligence and cybersecurity; ai cybersecurity; secure ai; secure ml; securing ai; securing ml; cybersecurity risk; cybersecurity risk in ml; trustworthy ML; adversarial machine learning; Bruce Schneier
