Oak 10 Machine Learning Blueprints You Should Know for Cybersecurity

Protect your systems and boost your defenses with cutting-edge AI techniques
1. Auflage 2023
ISBN: 978-1-80461-197-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 330 Seiten

No detailed description available for "10 Machine Learning Blueprints You Should Know for Cybersecurity".

Autoren/Hrsg.

Oak, Rajvardhan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Table of Contents - On Cybersecurity and Machine Learning
- Detecting Suspicious Activity
- Malware Detection Using Transformers and BERT
- Detecting Fake Reviews
- Detecting Deepfakes
- Detecting Machine-Generated Text
- Attributing Authorship and How to Evade it
- Detecting Fake News with Graph Neural Networks
- Attacking Models with Adversarial Machine Learning
- Protecting User Privacy with Differential Privacy
- Protecting User Privacy with Federated Machine Learning
- Breaking into the Sec-ML Industry

Über Autor(innen)

Oak Rajvardhan:

Rajvardhan Oak is a cybersecurity expert, researcher, and scientist with a focus on machine learning solutions to security issues such as fake news, malware, and botnets. He obtained his bachelor's degree from the University of Pune, India, and his master's degree from the University of California, Berkeley. He has served on the editorial committees of multiple technical conferences and journals. His work has been featured by prominent news outlets such as WIRED magazine and the Daily Mail. In 2022, he received the ISC2 Global Achievement Award for Excellence in Cybersecurity. He is based in the Seattle area and works for Microsoft as an applied scientist in the ads fraud division.