10 machine learning blueprints you should know for cybersecurity : protect your systems and boost your defenses with cutting-edge AI techniques [E-Book] / Rajvardhan Oak.
Machine learning in security is harder than other domains because of the changing nature and abilities of adversaries, high stakes, and a lack of ground-truth data. This book will prepare machine learning practitioners to effectively handle tasks in the challenging yet exciting cybersecurity space....
Saved in:
Full text |
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Personal Name(s): | Oak, Rajvardhan, author |
Edition: |
1st edition |
Imprint: |
Packt Publishing,
2023
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Physical Description: |
1 online resource (330 pages) |
Note: |
englisch |
ISBN: |
9781804611975 9781804619476 |
Keywords: |
Computers -- Artificial Intelligence -- General Computers -- Security -- Network Security Computers -- Data Science -- Neural Networks |
- 10 machine learning blueprints you should know for cybersecurity: protect your systems and boost your defenses with cutting-edge AI techniques
- Contributors
- Table of Contents
- Preface
- 1. On Cybersecurity and Machine Learning
- 2. Detecting Suspicious Activity
- 3. Malware Detection Using Transformers and BERT
- 4. Detecting Fake Reviews
- 5. Detecting Deepfakes
- 6. Detecting Machine-Generated Text
- 7. Attributing Authorship and How to Evade It
- 8. Detecting Fake News with Graph Neural Networks
- 9. Attacking Models with Adversarial Machine Learning
- 10. Protecting User Privacy with Differential Privacy
- 11. Protecting User Privacy with Federated Machine Learning
- 12. Breaking into the Sec-ML Industry
- Index
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