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10 Machine Learning Blueprints You Should Know for Cybersecurity

You're reading from  10 Machine Learning Blueprints You Should Know for Cybersecurity

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781804619476
Pages 330 pages
Edition 1st Edition
Languages
Author (1):
Rajvardhan Oak Rajvardhan Oak
Profile icon Rajvardhan Oak

Table of Contents (15) Chapters

Preface Chapter 1: On Cybersecurity and Machine Learning Chapter 2: Detecting Suspicious Activity Chapter 3: Malware Detection Using Transformers and BERT Chapter 4: Detecting Fake Reviews Chapter 5: Detecting Deepfakes Chapter 6: Detecting Machine-Generated Text Chapter 7: Attributing Authorship and How to Evade It Chapter 8: Detecting Fake News with Graph Neural Networks Chapter 9: Attacking Models with Adversarial Machine Learning Chapter 10: Protecting User Privacy with Differential Privacy Chapter 11: Protecting User Privacy with Federated Machine Learning Chapter 12: Breaking into the Sec-ML Industry Index Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

activation function 47

activation map 114

adjacency matrix 183

adversarial attacks, on intrusion detection

CICIDS2017 dataset 292

NSL-KDD dataset 291

UNB ISCX IDS 2012 dataset 292

adversarial attacks 228

robustness, developing against 228

adversarial attack strategies 222

last letter, doubling 222

vowel, doubling 223

Adversarial ML (AML) 205, 206

adversarial attacks 206, 207

adversarial tactics 207

data poisoning attacks 208

input perturbation attacks 207, 208

model inversion attacks 208

adversarial training 228

aggregator 260

alternate hypothesis (Ha) 93

alternative hypothesis (H1) 90

Analysis of Variance (ANOVA) 97

anomaly 20

anomaly detection 20-22

ANOVA tests 97, 98

apply() function 90

Area under the ROC...

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Published in: May 2023 Publisher: Packt ISBN-13: 9781804619476
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